NLP-文本摘要:利用预训练模型进行文本摘要任务【transformers:pipeline、T5、BART、Pegasus】

本文主要是介绍NLP-文本摘要:利用预训练模型进行文本摘要任务【transformers:pipeline、T5、BART、Pegasus】,希望对大家解决编程问题提供一定的参考价值,需要的开发者们随着小编来一起学习吧!

一、pipeline

可以使用pipeline快速实现文本摘要

from transformers import pipelinesummarizer = pipeline(task="summarization", model='t5-small')text = """summarize: (CNN)For the second time during his papacy, Pope Francis has announced a new group of bishops and archbishops set to become cardinals -- and they come from all over the world.Pope Francis said Sunday that he would hold a meeting of cardinals on February 14 "during which I will name 15 new Cardinals who, coming from 13 countries from every continent, manifest the indissoluble links between the Church of Rome and the particular Churches present in the world," according to Vatican Radio.New cardinals are always important because they set the tone in the church and also elect the next pope, CNN Senior Vatican Analyst John L. Allen said. They are sometimes referred to as the princes of the Catholic Church.The new cardinals come from countries such as Ethiopia, New Zealand and Myanmar."This is a pope who very much wants to reach out to people on the margins, and you clearly see that in this set," Allen said. "You're talking about cardinals from typically overlooked places, like Cape Verde, the Pacific island of Tonga, Panama, Thailand, Uruguay."But for the second time since Francis' election, no Americans made the list."Francis' pattern is very clear: He wants to go to the geographical peripheries rather than places that are already top-heavy with cardinals," Allen said.Christopher Bellitto, a professor of church history at Kean University in New Jersey, noted that Francis announced his new slate of cardinals on the Catholic Feast of the Epiphany, which commemorates the visit of the Magi to Jesus' birthplace in Bethlehem."On feast of three wise men from far away, the Pope's choices for cardinal say that every local church deserves a place at the big table."In other words, Francis wants a more decentralized church and wants to hear reform ideas from small communities that sit far from Catholicism's power centers, Bellitto said.That doesn't mean Francis is the first pontiff to appoint cardinals from the developing world, though. Beginning in the 1920s, an increasing number of Latin American churchmen were named cardinals, and in the 1960s, St. John XXIII, whom Francis canonized last year, appointed the first cardinals from Japan, the Philippines and Africa.In addition to the 15 new cardinals Francis named on Sunday, five retired archbishops and bishops will also be honored as cardinals.Last year, Pope Francis appointed 19 new cardinals, including bishops from Haiti and Burkina Faso.CNN's Daniel Burke and Christabelle Fombu contributed to this report.
"""
# CNN/DM答案:
# @highlight
# The 15 new cardinals will be installed on February 14
# @highlight
# They come from countries such as Myanmar and Tonga
# @highlight
# No Americans made the list this time or the previous time in Francis' papacyresult = summarizer(text, max_length=130, min_length=30, do_sample=False)print('result = ', result)

打印结果:

Token indices sequence length is longer than the specified maximum sequence length for this model (593 > 512). Running this sequence through the model will result in indexing errors
result =  [{'summary_text': 'a new group of bishops and archbishops will become cardinals . they come from 13 countries from every continent . the new cards are often referred to as the princes of the Catholic Church .'}]Process finished with exit code 0

二、T5

方式01、from transformers import AutoTokenizer, AutoModelForSeq2SeqLM

# https://github.com/huggingface/transformers/blob/master/src/transformers/models/t5/modeling_t5.py
from transformers import AutoTokenizer, AutoModelForSeq2SeqLMtokenizer = AutoTokenizer.from_pretrained(r'D:\Pretrained_Model\t5-base')
model = AutoModelForSeq2SeqLM.from_pretrained(r'D:\Pretrained_Model\t5-base')# 用T5做文本摘要任务,前面加 "summarize:"识别符
text = """summarize: (CNN)For the second time during his papacy, Pope Francis has announced a new group of bishops and archbishops set to become cardinals -- and they come from all over the world.Pope Francis said Sunday that he would hold a meeting of cardinals on February 14 "during which I will name 15 new Cardinals who, coming from 13 countries from every continent, manifest the indissoluble links between the Church of Rome and the particular Churches present in the world," according to Vatican Radio.New cardinals are always important because they set the tone in the church and also elect the next pope, CNN Senior Vatican Analyst John L. Allen said. They are sometimes referred to as the princes of the Catholic Church.The new cardinals come from countries such as Ethiopia, New Zealand and Myanmar."This is a pope who very much wants to reach out to people on the margins, and you clearly see that in this set," Allen said. "You're talking about cardinals from typically overlooked places, like Cape Verde, the Pacific island of Tonga, Panama, Thailand, Uruguay."But for the second time since Francis' election, no Americans made the list."Francis' pattern is very clear: He wants to go to the geographical peripheries rather than places that are already top-heavy with cardinals," Allen said.Christopher Bellitto, a professor of church history at Kean University in New Jersey, noted that Francis announced his new slate of cardinals on the Catholic Feast of the Epiphany, which commemorates the visit of the Magi to Jesus' birthplace in Bethlehem."On feast of three wise men from far away, the Pope's choices for cardinal say that every local church deserves a place at the big table."In other words, Francis wants a more decentralized church and wants to hear reform ideas from small communities that sit far from Catholicism's power centers, Bellitto said.That doesn't mean Francis is the first pontiff to appoint cardinals from the developing world, though. Beginning in the 1920s, an increasing number of Latin American churchmen were named cardinals, and in the 1960s, St. John XXIII, whom Francis canonized last year, appointed the first cardinals from Japan, the Philippines and Africa.In addition to the 15 new cardinals Francis named on Sunday, five retired archbishops and bishops will also be honored as cardinals.Last year, Pope Francis appointed 19 new cardinals, including bishops from Haiti and Burkina Faso.CNN's Daniel Burke and Christabelle Fombu contributed to this report.
"""
# CNN/DM答案:
# @highlight
# The 15 new cardinals will be installed on February 14
# @highlight
# They come from countries such as Myanmar and Tonga
# @highlight
# No Americans made the list this time or the previous time in Francis' papacyinputs = tokenizer(text, max_length=1024, truncation=True, return_tensors='pt')print('inputs = ', inputs)summary_ids = model.generate(inputs['input_ids'])print('\nsummary_ids = ', summary_ids)print([tokenizer.decode(g, skip_special_tokens=True, clean_up_tokenization_spaces=False) for g in summary_ids])
print(tokenizer.batch_decode(summary_ids, skip_special_tokens=True, clean_up_tokenization_spaces=False))

打印结果:

Ignored unknown kwarg option direction
inputs =  {'input_ids': tensor([[21603,    10,    41,   254, 17235,    61,  3809,     8,   511,    97,383,   112,     3, 16281,  4710,     6, 17384, 11065,    65,  2162,3,     9,   126,   563,    13, 25214,     7,    11, 11508, 11514,10776,     7,   356,    12,   582,   895, 10270,     7,  1636,    11,79,   369,    45,    66,   147,     8,   296,     5, 17384, 11065,243,  1771,    24,     3,    88,   133,  1520,     3,     9,  1338,13,   895, 10270,     7,    30,  2083,   968,    96,    26,  7920,84,    27,    56,   564,   627,   126, 21967,     7,   113,     6,1107,    45,  1179,  1440,    45,   334, 10829,     6,  6571,     8,3,  8482,     7, 26175,  2416,   344,     8,  2345,    13,  7332,11,     8,  1090,  2345,    15,     7,   915,    16,     8,   296,976,  1315,    12, 25770,  5061,     5,   368,   895, 10270,     7,33,   373,   359,   250,    79,   356,     8,  5739,    16,     8,2078,    11,    92, 11924,     8,   416,  2783,    15,     6, 19602,5523, 25770, 25224,  1079,   301,     5, 10618,   243,     5,   328,33,  1664,     3,  4822,    12,    38,     8, 22277,     7,    13,8,  6502,  2345,     5,    37,   126,   895, 10270,     7,   369,45,  1440,   224,    38, 22138,     6,   368,  5725,    11, 27274,5,    96,  3713,    19,     3,     9,  2783,    15,   113,   182,231,  2746,    12,  1535,    91,    12,   151,    30,     8,  6346,7,     6,    11,    25,  3133,   217,    24,    16,    48,   356,976, 10618,   243,     5,    96,  3774,    31,    60,  2508,    81,895, 10270,     7,    45,  3115, 20633,  1747,     6,   114,  9702,781,   221,     6,     8,  5824,  3368,    13,   304,  1725,     9,6, 21099,     6, 10508,     6, 30758,   535,   299,    21,     8,511,    97,   437, 11065,    31,  4356,     6,   150,  5452,   263,8,   570,     5,    96,   371,    52, 11389,     7,    31,  3275,19,   182,   964,    10,   216,  2746,    12,   281,    12,     8,20187,   158,  5082,    88,  2593,  1066,   145,  1747,    24,    33,641,   420,    18,    88, 19649,    28,   895, 10270,     7,   976,10618,   243,     5, 14702,  5377,   155,   235,     6,     3,     9,5812,    13,  2078,   892,    44,  2566,   152,   636,    16,   368,5092,     6,  4466,    24, 11065,  2162,   112,   126, 21079,    13,895, 10270,     7,    30,     8,  6502,   377, 11535,    13,     8,12741,  8237,    63,     6,    84, 18681,    15,     7,     8,   719,13,     8, 22673,    12,  1850,    31,  3879,  4687,    16, 15659,109,  6015,     5,    96,  7638, 18886,    13,   386,  7624,  1076,45,   623,   550,     6,     8, 17384,    31,     7,  3703,    21,895, 10270,   497,    24,   334,   415,  2078, 15314,     3,     9,286,    44,     8,   600,   953,   535,    86,   119,  1234,     6,11065,  2746,     3,     9,    72,    20, 21411,  2078,    11,  2746,12,  1616,  5139,   912,    45,   422,  2597,    24,  2561,   623,45,  6502,   159,    51,    31,     7,   579,  6881,     6,  5377,155,   235,   243,     5,   466,   744,    31,    17,  1243, 11065,19,     8,   166, 19068,  5982,    12,     3,     9,   102,  2700,895, 10270,     7,    45,     8,  2421,   296,     6,   713,     5,22738,    16,     8, 13978,     7,     6,    46,  3094,   381,    13,6271,   797,  2078,   904,   130,  2650,   895, 10270,     7,     6,11,    16,     8,  8754,     7,     6,   472,     5,  1079,     3,4,     4, 13671,     6,  4068, 11065,    54,   106,  1601,   336,215,     6,  7817,     8,   166,   895, 10270,     7,    45,  3411,6,     8, 12729,    11,  2648,     5,    86,   811,    12,     8,627,   126,   895, 10270,     7, 11065,  2650,    30,  1771,     6,874, 10611, 11508, 11514, 10776,     7,    11, 25214,     7,    56,92,    36, 13242,    38,   895, 10270,     7,     5,  2506,   215,6, 17384, 11065,  7817,   957,   126,   895, 10270,     7,     6,379, 25214,     7,    45, 22179,    11,  4152,  2917,     9,  1699,7,    32,     5, 19602,    31,     7,  4173, 27575,    11,  2144,10333,   109,   377,  8038,    76,  9859,    12,    48,   934,     5,1]]), 'attention_mask': tensor([[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]])}summary_ids =  tensor([[    0,   126,   895, 10270,     7,   369,    45,  1179,  1440,    45,334, 10829,     3,     5,    79,    33,  1664,     3,  4822,    12]])['new cardinals come from 13 countries from every continent . they are sometimes referred to']
['new cardinals come from 13 countries from every continent . they are sometimes referred to']Process finished with exit code 0

方式02、from transformers import T5Tokenizer, T5ForConditionalGeneration

# https://github.com/huggingface/transformers/blob/master/src/transformers/models/t5/modeling_t5.py
from transformers import T5Tokenizer, T5ForConditionalGenerationtokenizer = T5Tokenizer.from_pretrained(r'D:\Pretrained_Model\t5-base')
model = T5ForConditionalGeneration.from_pretrained(r'D:\Pretrained_Model\t5-base')text = """(CNN)For the second time during his papacy, Pope Francis has announced a new group of bishops and archbishops set to become cardinals -- and they come from all over the world.Pope Francis said Sunday that he would hold a meeting of cardinals on February 14 "during which I will name 15 new Cardinals who, coming from 13 countries from every continent, manifest the indissoluble links between the Church of Rome and the particular Churches present in the world," according to Vatican Radio.New cardinals are always important because they set the tone in the church and also elect the next pope, CNN Senior Vatican Analyst John L. Allen said. They are sometimes referred to as the princes of the Catholic Church.The new cardinals come from countries such as Ethiopia, New Zealand and Myanmar."This is a pope who very much wants to reach out to people on the margins, and you clearly see that in this set," Allen said. "You're talking about cardinals from typically overlooked places, like Cape Verde, the Pacific island of Tonga, Panama, Thailand, Uruguay."But for the second time since Francis' election, no Americans made the list."Francis' pattern is very clear: He wants to go to the geographical peripheries rather than places that are already top-heavy with cardinals," Allen said.Christopher Bellitto, a professor of church history at Kean University in New Jersey, noted that Francis announced his new slate of cardinals on the Catholic Feast of the Epiphany, which commemorates the visit of the Magi to Jesus' birthplace in Bethlehem."On feast of three wise men from far away, the Pope's choices for cardinal say that every local church deserves a place at the big table."In other words, Francis wants a more decentralized church and wants to hear reform ideas from small communities that sit far from Catholicism's power centers, Bellitto said.That doesn't mean Francis is the first pontiff to appoint cardinals from the developing world, though. Beginning in the 1920s, an increasing number of Latin American churchmen were named cardinals, and in the 1960s, St. John XXIII, whom Francis canonized last year, appointed the first cardinals from Japan, the Philippines and Africa.In addition to the 15 new cardinals Francis named on Sunday, five retired archbishops and bishops will also be honored as cardinals.Last year, Pope Francis appointed 19 new cardinals, including bishops from Haiti and Burkina Faso.CNN's Daniel Burke and Christabelle Fombu contributed to this report.
"""
# CNN/DM答案:
# @highlight
# The 15 new cardinals will be installed on February 14
# @highlight
# They come from countries such as Myanmar and Tonga
# @highlight
# No Americans made the list this time or the previous time in Francis' papacyinputs = tokenizer(text, max_length=1024, truncation=True, return_tensors='pt')print('inputs = ', inputs)summary_ids = model.generate(inputs['input_ids'])print('\nsummary_ids = ', summary_ids)print([tokenizer.decode(g, skip_special_tokens=True, clean_up_tokenization_spaces=False) for g in summary_ids])
print(tokenizer.batch_decode(summary_ids, skip_special_tokens=True, clean_up_tokenization_spaces=False))

打印结果:

inputs =  {'input_ids': tensor([[   41,   254, 17235,    61,  3809,     8,   511,    97,   383,   112,3, 16281,  4710,     6, 17384, 11065,    65,  2162,     3,     9,126,   563,    13, 25214,     7,    11, 11508, 11514, 10776,     7,356,    12,   582,   895, 10270,     7,  1636,    11,    79,   369,45,    66,   147,     8,   296,     5, 17384, 11065,   243,  1771,24,     3,    88,   133,  1520,     3,     9,  1338,    13,   895,10270,     7,    30,  2083,   968,    96,    26,  7920,    84,    27,56,   564,   627,   126, 21967,     7,   113,     6,  1107,    45,1179,  1440,    45,   334, 10829,     6,  6571,     8,     3,  8482,7, 26175,  2416,   344,     8,  2345,    13,  7332,    11,     8,1090,  2345,    15,     7,   915,    16,     8,   296,   976,  1315,12, 25770,  5061,     5,   368,   895, 10270,     7,    33,   373,359,   250,    79,   356,     8,  5739,    16,     8,  2078,    11,92, 11924,     8,   416,  2783,    15,     6, 19602,  5523, 25770,25224,  1079,   301,     5, 10618,   243,     5,   328,    33,  1664,3,  4822,    12,    38,     8, 22277,     7,    13,     8,  6502,2345,     5,    37,   126,   895, 10270,     7,   369,    45,  1440,224,    38, 22138,     6,   368,  5725,    11, 27274,     5,    96,3713,    19,     3,     9,  2783,    15,   113,   182,   231,  2746,12,  1535,    91,    12,   151,    30,     8,  6346,     7,     6,11,    25,  3133,   217,    24,    16,    48,   356,   976, 10618,243,     5,    96,  3774,    31,    60,  2508,    81,   895, 10270,7,    45,  3115, 20633,  1747,     6,   114,  9702,   781,   221,6,     8,  5824,  3368,    13,   304,  1725,     9,     6, 21099,6, 10508,     6, 30758,   535,   299,    21,     8,   511,    97,437, 11065,    31,  4356,     6,   150,  5452,   263,     8,   570,5,    96,   371,    52, 11389,     7,    31,  3275,    19,   182,964,    10,   216,  2746,    12,   281,    12,     8, 20187,   158,5082,    88,  2593,  1066,   145,  1747,    24,    33,   641,   420,18,    88, 19649,    28,   895, 10270,     7,   976, 10618,   243,5, 14702,  5377,   155,   235,     6,     3,     9,  5812,    13,2078,   892,    44,  2566,   152,   636,    16,   368,  5092,     6,4466,    24, 11065,  2162,   112,   126, 21079,    13,   895, 10270,7,    30,     8,  6502,   377, 11535,    13,     8, 12741,  8237,63,     6,    84, 18681,    15,     7,     8,   719,    13,     8,22673,    12,  1850,    31,  3879,  4687,    16, 15659,   109,  6015,5,    96,  7638, 18886,    13,   386,  7624,  1076,    45,   623,550,     6,     8, 17384,    31,     7,  3703,    21,   895, 10270,497,    24,   334,   415,  2078, 15314,     3,     9,   286,    44,8,   600,   953,   535,    86,   119,  1234,     6, 11065,  2746,3,     9,    72,    20, 21411,  2078,    11,  2746,    12,  1616,5139,   912,    45,   422,  2597,    24,  2561,   623,    45,  6502,159,    51,    31,     7,   579,  6881,     6,  5377,   155,   235,243,     5,   466,   744,    31,    17,  1243, 11065,    19,     8,166, 19068,  5982,    12,     3,     9,   102,  2700,   895, 10270,7,    45,     8,  2421,   296,     6,   713,     5, 22738,    16,8, 13978,     7,     6,    46,  3094,   381,    13,  6271,   797,2078,   904,   130,  2650,   895, 10270,     7,     6,    11,    16,8,  8754,     7,     6,   472,     5,  1079,     3,     4,     4,13671,     6,  4068, 11065,    54,   106,  1601,   336,   215,     6,7817,     8,   166,   895, 10270,     7,    45,  3411,     6,     8,12729,    11,  2648,     5,    86,   811,    12,     8,   627,   126,895, 10270,     7, 11065,  2650,    30,  1771,     6,   874, 10611,11508, 11514, 10776,     7,    11, 25214,     7,    56,    92,    36,13242,    38,   895, 10270,     7,     5,  2506,   215,     6, 17384,11065,  7817,   957,   126,   895, 10270,     7,     6,   379, 25214,7,    45, 22179,    11,  4152,  2917,     9,  1699,     7,    32,5, 19602,    31,     7,  4173, 27575,    11,  2144, 10333,   109,377,  8038,    76,  9859,    12,    48,   934,     5,     1]]), 'attention_mask': tensor([[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]])}summary_ids =  tensor([[    0,   126,   895, 10270,     7,   369,    45,  1179,  1440,    45,334, 10829,     3,     5,    79,    33,   557,     3,  4822,    12]])['new cardinals come from 13 countries from every continent . they are often referred to']
['new cardinals come from 13 countries from every continent . they are often referred to']Process finished with exit code 0

三、BART

方式01、from transformers import AutoTokenizer, AutoModelForSeq2SeqLM

# https://github.com/huggingface/transformers/blob/master/src/transformers/models/t5/modeling_t5.py
from transformers import AutoTokenizer, AutoModelForSeq2SeqLMtokenizer = AutoTokenizer.from_pretrained(r'D:\Pretrained_Model\bart-base')
model = AutoModelForSeq2SeqLM.from_pretrained(r'D:\Pretrained_Model\bart-base')# 用T5做文本摘要任务,前面加 "summarize:"识别符
text = """summarize: (CNN)For the second time during his papacy, Pope Francis has announced a new group of bishops and archbishops set to become cardinals -- and they come from all over the world.Pope Francis said Sunday that he would hold a meeting of cardinals on February 14 "during which I will name 15 new Cardinals who, coming from 13 countries from every continent, manifest the indissoluble links between the Church of Rome and the particular Churches present in the world," according to Vatican Radio.New cardinals are always important because they set the tone in the church and also elect the next pope, CNN Senior Vatican Analyst John L. Allen said. They are sometimes referred to as the princes of the Catholic Church.The new cardinals come from countries such as Ethiopia, New Zealand and Myanmar."This is a pope who very much wants to reach out to people on the margins, and you clearly see that in this set," Allen said. "You're talking about cardinals from typically overlooked places, like Cape Verde, the Pacific island of Tonga, Panama, Thailand, Uruguay."But for the second time since Francis' election, no Americans made the list."Francis' pattern is very clear: He wants to go to the geographical peripheries rather than places that are already top-heavy with cardinals," Allen said.Christopher Bellitto, a professor of church history at Kean University in New Jersey, noted that Francis announced his new slate of cardinals on the Catholic Feast of the Epiphany, which commemorates the visit of the Magi to Jesus' birthplace in Bethlehem."On feast of three wise men from far away, the Pope's choices for cardinal say that every local church deserves a place at the big table."In other words, Francis wants a more decentralized church and wants to hear reform ideas from small communities that sit far from Catholicism's power centers, Bellitto said.That doesn't mean Francis is the first pontiff to appoint cardinals from the developing world, though. Beginning in the 1920s, an increasing number of Latin American churchmen were named cardinals, and in the 1960s, St. John XXIII, whom Francis canonized last year, appointed the first cardinals from Japan, the Philippines and Africa.In addition to the 15 new cardinals Francis named on Sunday, five retired archbishops and bishops will also be honored as cardinals.Last year, Pope Francis appointed 19 new cardinals, including bishops from Haiti and Burkina Faso.CNN's Daniel Burke and Christabelle Fombu contributed to this report.
"""
# CNN/DM答案:
# @highlight
# The 15 new cardinals will be installed on February 14
# @highlight
# They come from countries such as Myanmar and Tonga
# @highlight
# No Americans made the list this time or the previous time in Francis' papacyinputs = tokenizer(text, max_length=1024, truncation=True, return_tensors='pt')print('inputs = ', inputs)summary_ids = model.generate(inputs['input_ids'])print('\nsummary_ids = ', summary_ids)print([tokenizer.decode(g, skip_special_tokens=True, clean_up_tokenization_spaces=False) for g in summary_ids])
print(tokenizer.batch_decode(summary_ids, skip_special_tokens=True, clean_up_tokenization_spaces=False))

打印结果:

Ignored unknown kwarg option direction
inputs =  {'input_ids': tensor([[    0, 50118,  1437,  1437,  1437,  1437,  1437,  1437,  1437, 40402,35,    36, 16256,    43,  2709,     5,   200,    86,   148,    39,13102,  5073,     6,  8509,  5075,    34,   585,    10,    92,   333,9, 19929,     8,  9599,   428, 32084,   278,     7,   555,  1886,17552,   480,     8,    51,   283,    31,    70,    81,     5,   232,4, 50118,  1437,  1437,  1437,  1437,  1437,  1437,  1437,  8509,5075,    26,   395,    14,    37,    74,   946,    10,   529,     9,1886, 17552,    15,   902,   501,    22, 37460,    61,    38,    40,766,   379,    92,  6293,    54,     6,   567,    31,   508,   749,31,   358,  9183,     6, 19318,     5,  9473,  3006,  1168, 26633,5678,   227,     5,  2197,     9,  8947,     8,     5,  1989, 37391,1455,    11,     5,   232,    60,   309,     7, 11484,  4611,     4,50118,  1437,  1437,  1437,  1437,  1437,  1437,  1437,   188,  1886,17552,    32,   460,   505,   142,    51,   278,     5,  6328,    11,5,  2352,     8,    67, 10371,     5,   220, 16627,     6,  3480,3596, 11484,  9821,   610,   226,     4,  3823,    26,     4,   252,32,  2128,  4997,     7,    25,     5, 39978,     9,     5,  4019,2197,     4, 50118,  1437,  1437,  1437,  1437,  1437,  1437,  1437,20,    92,  1886, 17552,   283,    31,   749,   215,    25, 13934,6,   188,  3324,     8,  7095,     4, 50118,  1437,  1437,  1437,1437,  1437,  1437,  1437,    22,   713,    16,    10, 16627,    54,182,   203,  1072,     7,  1338,    66,     7,    82,    15,     5,5510,     6,     8,    47,  2563,   192,    14,    11,    42,   278,60,  3823,    26,     4,    22,  1185,   214,  1686,    59,  1886,17552,    31,  3700, 16042,  2127,     6,   101,  6268,  3060,  2794,6,     5,  3073,  2946,     9, 17922,   102,     6, 12276,     6,6547,     6, 17609,    72, 50118,  1437,  1437,  1437,  1437,  1437,1437,  1437,   125,    13,     5,   200,    86,   187,  5075,   108,729,     6,   117,  1791,   156,     5,   889,     4, 50118,  1437,1437,  1437,  1437,  1437,  1437,  1437,    22, 38461,   354,   108,6184,    16,   182,   699,    35,    91,  1072,     7,   213,     7,5, 20456, 41464,   918,  1195,    87,  2127,    14,    32,   416,299,    12, 18888,    19,  1886, 17552,    60,  3823,    26,     4,50118,  1437,  1437,  1437,  1437,  1437,  1437,  1437,  5469,  3043,29765,     6,    10,  3097,     9,  2352,   750,    23,  3350,   260,589,    11,   188,  3123,     6,  1581,    14,  5075,   585,    39,92, 15777,     9,  1886, 17552,    15,     5,  4019, 37072,     9,5, 14230, 39880,     6,    61, 16293,  1626,     5,   825,     9,5,  3771,   118,     7,  5772,   108, 32357,    11, 26557,     4,50118,  1437,  1437,  1437,  1437,  1437,  1437,  1437,    22,  4148,23220,     9,   130, 11036,   604,    31,   444,   409,     6,     5,8509,    18,  5717,    13, 32533,   224,    14,   358,   400,  2352,8613,    10,   317,    23,     5,   380,  2103,    72, 50118,  1437,1437,  1437,  1437,  1437,  1437,  1437,    96,    97,  1617,     6,5075,  1072,    10,    55, 34930,  2352,     8,  1072,     7,  1798,3114,  2956,    31,   650,  1822,    14,  2662,   444,    31, 42580,18,   476,  5228,     6,  3043, 29765,    26,     4, 50118,  1437,1437,  1437,  1437,  1437,  1437,  1437,   280,   630,    75,  1266,5075,    16,     5,    78, 29476,  4822,     7,  9653,  1886, 17552,31,     5,  2623,   232,     6,   600,     4, 22856,    11,     5,18283,    29,     6,    41,  2284,   346,     9,  5862,   470,  2352,2262,    58,  1440,  1886, 17552,     6,     8,    11,     5,  7571,29,     6,   312,     4,   610, 26166, 24457,     6,  2661,  5075,32839,  1538,    94,    76,     6,  3873,     5,    78,  1886, 17552,31,  1429,     6,     5,  5639,     8,  1327,     4, 50118,  1437,1437,  1437,  1437,  1437,  1437,  1437,    96,  1285,     7,     5,379,    92,  1886, 17552,  5075,  1440,    15,   395,     6,   292,3562,  9599,   428, 32084,     8, 19929,    40,    67,    28,  7809,25,  1886, 17552,     4, 50118,  1437,  1437,  1437,  1437,  1437,1437,  1437,  1426,    76,     6,  8509,  5075,  3873,   753,    92,1886, 17552,     6,   217, 19929,    31, 17009,     8, 18294,  1243,21433,   139,     4, 50118,  1437,  1437,  1437,  1437,  1437,  1437,1437,  3480,    18,  3028, 12032,     8,  4845, 14286,   459,   274,5223,   257,  3162,     7,    42,   266,     4, 50118,     2]]), 'attention_mask': tensor([[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]])}summary_ids =  tensor([[    2,     0,  1640, 16256,    43,  1437,  1437,  1437,  2537,  1437,1437,    36, 16256,    43,  2709,     5,   200,    86,   148,     2]])['(CNN)   Â   (CNN)For the second time during']
['(CNN)   Â   (CNN)For the second time during']Process finished with exit code 0

方式02、from transformers import BartTokenizer, BartForConditionalGeneration

# https://github.com/huggingface/transformers/blob/master/src/transformers/models/t5/modeling_t5.py
from transformers import BartTokenizer, BartForConditionalGenerationtokenizer = BartTokenizer.from_pretrained(r'D:\Pretrained_Model\bart-base')
model = BartForConditionalGeneration.from_pretrained(r'D:\Pretrained_Model\bart-base')text = """(CNN)For the second time during his papacy, Pope Francis has announced a new group of bishops and archbishops set to become cardinals -- and they come from all over the world.Pope Francis said Sunday that he would hold a meeting of cardinals on February 14 "during which I will name 15 new Cardinals who, coming from 13 countries from every continent, manifest the indissoluble links between the Church of Rome and the particular Churches present in the world," according to Vatican Radio.New cardinals are always important because they set the tone in the church and also elect the next pope, CNN Senior Vatican Analyst John L. Allen said. They are sometimes referred to as the princes of the Catholic Church.The new cardinals come from countries such as Ethiopia, New Zealand and Myanmar."This is a pope who very much wants to reach out to people on the margins, and you clearly see that in this set," Allen said. "You're talking about cardinals from typically overlooked places, like Cape Verde, the Pacific island of Tonga, Panama, Thailand, Uruguay."But for the second time since Francis' election, no Americans made the list."Francis' pattern is very clear: He wants to go to the geographical peripheries rather than places that are already top-heavy with cardinals," Allen said.Christopher Bellitto, a professor of church history at Kean University in New Jersey, noted that Francis announced his new slate of cardinals on the Catholic Feast of the Epiphany, which commemorates the visit of the Magi to Jesus' birthplace in Bethlehem."On feast of three wise men from far away, the Pope's choices for cardinal say that every local church deserves a place at the big table."In other words, Francis wants a more decentralized church and wants to hear reform ideas from small communities that sit far from Catholicism's power centers, Bellitto said.That doesn't mean Francis is the first pontiff to appoint cardinals from the developing world, though. Beginning in the 1920s, an increasing number of Latin American churchmen were named cardinals, and in the 1960s, St. John XXIII, whom Francis canonized last year, appointed the first cardinals from Japan, the Philippines and Africa.In addition to the 15 new cardinals Francis named on Sunday, five retired archbishops and bishops will also be honored as cardinals.Last year, Pope Francis appointed 19 new cardinals, including bishops from Haiti and Burkina Faso.CNN's Daniel Burke and Christabelle Fombu contributed to this report.
"""
# CNN/DM答案:
# @highlight
# The 15 new cardinals will be installed on February 14
# @highlight
# They come from countries such as Myanmar and Tonga
# @highlight
# No Americans made the list this time or the previous time in Francis' papacyinputs = tokenizer(text, max_length=1024, truncation=True, return_tensors='pt')print('inputs = ', inputs)summary_ids = model.generate(inputs['input_ids'])print('\nsummary_ids = ', summary_ids)print([tokenizer.decode(g, skip_special_tokens=True, clean_up_tokenization_spaces=False) for g in summary_ids])
print(tokenizer.batch_decode(summary_ids, skip_special_tokens=True, clean_up_tokenization_spaces=False))

打印结果:

inputs =  {'input_ids': tensor([[    0, 50118,  1437,  1437,  1437,  1437,  1437,  1437,  1437,  1437,36, 16256,    43,  2709,     5,   200,    86,   148,    39, 13102,5073,     6,  8509,  5075,    34,   585,    10,    92,   333,     9,19929,     8,  9599,   428, 32084,   278,     7,   555,  1886, 17552,480,     8,    51,   283,    31,    70,    81,     5,   232,     4,50118,  1437,  1437,  1437,  1437,  1437,  1437,  1437,  8509,  5075,26,   395,    14,    37,    74,   946,    10,   529,     9,  1886,17552,    15,   902,   501,    22, 37460,    61,    38,    40,   766,379,    92,  6293,    54,     6,   567,    31,   508,   749,    31,358,  9183,     6, 19318,     5,  9473,  3006,  1168, 26633,  5678,227,     5,  2197,     9,  8947,     8,     5,  1989, 37391,  1455,11,     5,   232,    60,   309,     7, 11484,  4611,     4, 50118,1437,  1437,  1437,  1437,  1437,  1437,  1437,   188,  1886, 17552,32,   460,   505,   142,    51,   278,     5,  6328,    11,     5,2352,     8,    67, 10371,     5,   220, 16627,     6,  3480,  3596,11484,  9821,   610,   226,     4,  3823,    26,     4,   252,    32,2128,  4997,     7,    25,     5, 39978,     9,     5,  4019,  2197,4, 50118,  1437,  1437,  1437,  1437,  1437,  1437,  1437,    20,92,  1886, 17552,   283,    31,   749,   215,    25, 13934,     6,188,  3324,     8,  7095,     4, 50118,  1437,  1437,  1437,  1437,1437,  1437,  1437,    22,   713,    16,    10, 16627,    54,   182,203,  1072,     7,  1338,    66,     7,    82,    15,     5,  5510,6,     8,    47,  2563,   192,    14,    11,    42,   278,    60,3823,    26,     4,    22,  1185,   214,  1686,    59,  1886, 17552,31,  3700, 16042,  2127,     6,   101,  6268,  3060,  2794,     6,5,  3073,  2946,     9, 17922,   102,     6, 12276,     6,  6547,6, 17609,    72, 50118,  1437,  1437,  1437,  1437,  1437,  1437,1437,   125,    13,     5,   200,    86,   187,  5075,   108,   729,6,   117,  1791,   156,     5,   889,     4, 50118,  1437,  1437,1437,  1437,  1437,  1437,  1437,    22, 38461,   354,   108,  6184,16,   182,   699,    35,    91,  1072,     7,   213,     7,     5,20456, 41464,   918,  1195,    87,  2127,    14,    32,   416,   299,12, 18888,    19,  1886, 17552,    60,  3823,    26,     4, 50118,1437,  1437,  1437,  1437,  1437,  1437,  1437,  5469,  3043, 29765,6,    10,  3097,     9,  2352,   750,    23,  3350,   260,   589,11,   188,  3123,     6,  1581,    14,  5075,   585,    39,    92,15777,     9,  1886, 17552,    15,     5,  4019, 37072,     9,     5,14230, 39880,     6,    61, 16293,  1626,     5,   825,     9,     5,3771,   118,     7,  5772,   108, 32357,    11, 26557,     4, 50118,1437,  1437,  1437,  1437,  1437,  1437,  1437,    22,  4148, 23220,9,   130, 11036,   604,    31,   444,   409,     6,     5,  8509,18,  5717,    13, 32533,   224,    14,   358,   400,  2352,  8613,10,   317,    23,     5,   380,  2103,    72, 50118,  1437,  1437,1437,  1437,  1437,  1437,  1437,    96,    97,  1617,     6,  5075,1072,    10,    55, 34930,  2352,     8,  1072,     7,  1798,  3114,2956,    31,   650,  1822,    14,  2662,   444,    31, 42580,    18,476,  5228,     6,  3043, 29765,    26,     4, 50118,  1437,  1437,1437,  1437,  1437,  1437,  1437,   280,   630,    75,  1266,  5075,16,     5,    78, 29476,  4822,     7,  9653,  1886, 17552,    31,5,  2623,   232,     6,   600,     4, 22856,    11,     5, 18283,29,     6,    41,  2284,   346,     9,  5862,   470,  2352,  2262,58,  1440,  1886, 17552,     6,     8,    11,     5,  7571,    29,6,   312,     4,   610, 26166, 24457,     6,  2661,  5075, 32839,1538,    94,    76,     6,  3873,     5,    78,  1886, 17552,    31,1429,     6,     5,  5639,     8,  1327,     4, 50118,  1437,  1437,1437,  1437,  1437,  1437,  1437,    96,  1285,     7,     5,   379,92,  1886, 17552,  5075,  1440,    15,   395,     6,   292,  3562,9599,   428, 32084,     8, 19929,    40,    67,    28,  7809,    25,1886, 17552,     4, 50118,  1437,  1437,  1437,  1437,  1437,  1437,1437,  1426,    76,     6,  8509,  5075,  3873,   753,    92,  1886,17552,     6,   217, 19929,    31, 17009,     8, 18294,  1243, 21433,139,     4, 50118,  1437,  1437,  1437,  1437,  1437,  1437,  1437,3480,    18,  3028, 12032,     8,  4845, 14286,   459,   274,  5223,257,  3162,     7,    42,   266,     4, 50118,     2]]), 'attention_mask': tensor([[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]])}summary_ids =  tensor([[    2,     0,  1640, 16256,    43,   480,  1437,  1437,  2537,  1437,1437,  1437,    36, 16256,    43,  2709,     5,   200,    86,     2]])['(CNN) --  Â    (CNN)For the second time']
['(CNN) --  Â    (CNN)For the second time']Process finished with exit code 0

四、Pegasus

方式01、from transformers import AutoTokenizer, AutoModelForSeq2SeqLM

# https://github.com/huggingface/transformers/blob/master/src/transformers/models/pegasus/modeling_pegasus.py
import torch
from transformers import AutoTokenizer, AutoModelForSeq2SeqLMtokenizer = AutoTokenizer.from_pretrained(r'D:\Pretrained_model\pegasus-cnn_dailymail')
model = AutoModelForSeq2SeqLM.from_pretrained(r'D:\Pretrained_model\pegasus-cnn_dailymail')text = """(CNN)For the second time during his papacy, Pope Francis has announced a new group of bishops and archbishops set to become cardinals -- and they come from all over the world.Pope Francis said Sunday that he would hold a meeting of cardinals on February 14 "during which I will name 15 new Cardinals who, coming from 13 countries from every continent, manifest the indissoluble links between the Church of Rome and the particular Churches present in the world," according to Vatican Radio.New cardinals are always important because they set the tone in the church and also elect the next pope, CNN Senior Vatican Analyst John L. Allen said. They are sometimes referred to as the princes of the Catholic Church.The new cardinals come from countries such as Ethiopia, New Zealand and Myanmar."This is a pope who very much wants to reach out to people on the margins, and you clearly see that in this set," Allen said. "You're talking about cardinals from typically overlooked places, like Cape Verde, the Pacific island of Tonga, Panama, Thailand, Uruguay."But for the second time since Francis' election, no Americans made the list."Francis' pattern is very clear: He wants to go to the geographical peripheries rather than places that are already top-heavy with cardinals," Allen said.Christopher Bellitto, a professor of church history at Kean University in New Jersey, noted that Francis announced his new slate of cardinals on the Catholic Feast of the Epiphany, which commemorates the visit of the Magi to Jesus' birthplace in Bethlehem."On feast of three wise men from far away, the Pope's choices for cardinal say that every local church deserves a place at the big table."In other words, Francis wants a more decentralized church and wants to hear reform ideas from small communities that sit far from Catholicism's power centers, Bellitto said.That doesn't mean Francis is the first pontiff to appoint cardinals from the developing world, though. Beginning in the 1920s, an increasing number of Latin American churchmen were named cardinals, and in the 1960s, St. John XXIII, whom Francis canonized last year, appointed the first cardinals from Japan, the Philippines and Africa.In addition to the 15 new cardinals Francis named on Sunday, five retired archbishops and bishops will also be honored as cardinals.Last year, Pope Francis appointed 19 new cardinals, including bishops from Haiti and Burkina Faso.CNN's Daniel Burke and Christabelle Fombu contributed to this report.
"""
# CNN/DM答案:
# @highlight
# The 15 new cardinals will be installed on February 14
# @highlight
# They come from countries such as Myanmar and Tonga
# @highlight
# No Americans made the list this time or the previous time in Francis' papacyinputs = tokenizer.encode(text)
inputs = torch.tensor([inputs])print('inputs = ', inputs)summary_ids = model.generate(inputs)print('\nsummary_ids = ', summary_ids)print([tokenizer.decode(g, skip_special_tokens=True, clean_up_tokenization_spaces=False) for g in summary_ids])
print(tokenizer.batch_decode(summary_ids, skip_special_tokens=True, clean_up_tokenization_spaces=False))

打印结果:

inputs =  tensor([[  143, 40155,   158,   581,   109,   453,   166,   333,   169, 95987,108, 11481,  7756,   148,  1487,   114,   177,   456,   113, 35712,111, 66941,   116,   323,   112,   460, 30726,   116,  1315,   111,157,   331,   135,   149,   204,   109,   278,   107, 11481,  7756,243,  1342,   120,   178,   192,  1137,   114,   988,   113, 30726,116,   124,  1538,  1265,   198, 35871,   162,   125,   138,   442,738,   177, 18345,   170,   108,   792,   135,  1428,  1105,   135,290, 10156,   108, 14451,   109,   115,  8597, 32478,  1784,   317,109,  1887,   113,  6807,   111,   109,   970, 24353,   799,   115,109,   278,   745,   992,   112, 20525,  4474,   107,   351, 30726,116,   127,   329,   356,   262,   157,   323,   109,  4104,   115,109,  1588,   111,   163, 14094,   109,   352, 32577,   108, 11869,4244, 20525, 18672,  1084,  1054,   107,  6611,   243,   107,   322,127,  1254,  3795,   112,   130,   109, 54407,   113,   109,  4569,1887,   107,   139,   177, 30726,   116,   331,   135,  1105,   253,130, 16958,   108,   351,  3571,   111, 14838,   107,   198,   287,117,   114, 32577,   170,   221,   249,  1728,   112,  1111,   165,112,   200,   124,   109, 11691,   108,   111,   119,  2312,   236,120,   115,   136,   323,   745,  6611,   243,   107,   198,   417,131,   216,  1767,   160, 30726,   116,   135,  2222, 10912,  1262,108,   172,  5365, 23288,   108,   109,  3755,  2273,   113, 43439,108, 14668,   108,  6398,   108, 32671,   496,   343,   118,   109,453,   166,   381,  7756,   131,  2974,   108,   220,  3361,   266,109,   467,   107,   198, 59883,   131,  2293,   117,   221,   786,151,   285,  1728,   112,   275,   112,   109, 12483, 26941, 30713,3317,   880,   197,  1262,   120,   127,   506,   349,   121, 22564,122, 30726,   116,   745,  6611,   243,   107,  8751,  5706,  1418,497,   108,   114,  4609,   113,  1588,   689,   134, 69328,   502,115,   351,  3477,   108,  3151,   120,  7756,  1487,   169,   177,11598,   113, 30726,   116,   124,   109,  4569, 26717,   113,   109,60574,   108,   162, 56784,   109,   558,   113,   109, 33806,   112,1694,   131, 25910,   115, 26163,   107,   198,  1189, 11733,   113,339,  5509,  1024,   135,   571,   429,   108,   109, 11481,   131,116,  2257,   118, 30726,   416,   120,   290,   391,  1588,  8068,114,   295,   134,   109,   461,   826,   496,   222,   176,   989,108,  7756,  1728,   114,   154, 24500,  1588,   111,  1728,   112,1232,  6243,   675,   135,   360,  1724,   120,  2051,   571,   135,52403,   131,   116,   484,  3853,   108,  5706,  1418,   497,   243,107,   485,   591,   131,   144,  1021,  7756,   117,   109,   211,110, 39619, 18827,   112, 17717, 30726,   116,   135,   109,  1690,278,   108,   577,   107, 16591,   115,   109,  8821,   116,   108,142,  2186,   344,   113,  5249,   655,  1588,  3635,   195,  1729,30726,   116,   108,   111,   115,   109,  6939,   116,   108,   873,107,  1084, 61939, 12964,   108,  2901,  7756, 24828,  3792,   289,232,   108,  4486,   109,   211, 30726,   116,   135,  2466,   108,109,  6802,   111,  1922,   107,   222,   663,   112,   109,   738,177, 30726,   116,  7756,  1729,   124,  1342,   108,   668,  5774,66941,   116,   111, 35712,   138,   163,   129,  7051,   130, 30726,116,   107,  2882,   232,   108, 11481,  7756,  4486,  1925,   177,30726,   116,   108,   330, 35712,   135, 17256,   111, 58499, 55600,107, 11869,   131,   116,  4767, 18834,   111,  2333, 65534, 15391,28929,  5674,   112,   136,   731,   107,     1]])summary_ids =  tensor([[    0,   139,   177, 30726,   116,   331,   135,  1105,   253,   130,16958,   108,   351,  3571,   111, 14838,   110,   107,   106,  1667,3361,   266,   109,   467,   118,   109,   453,   166,   381,  7756,131,  2974,   110,   107,     1]])["The new cardinals come from countries such as Ethiopia, New Zealand and Myanmar .<n>No Americans made the list for the second time since Francis' election ."]
["The new cardinals come from countries such as Ethiopia, New Zealand and Myanmar .<n>No Americans made the list for the second time since Francis' election ."]Process finished with exit code 0

方式02、from transformers import PegasusTokenizer, PegasusForConditionalGeneration

# https://github.com/huggingface/transformers/blob/master/src/transformers/models/pegasus/modeling_pegasus.py
from transformers import PegasusTokenizer, PegasusForConditionalGenerationtokenizer = PegasusTokenizer.from_pretrained(r'D:\Pretrained_Model\pegasus-cnn_dailymail')
model = PegasusForConditionalGeneration.from_pretrained(r'D:\Pretrained_Model\pegasus-cnn_dailymail')text = """(CNN)For the second time during his papacy, Pope Francis has announced a new group of bishops and archbishops set to become cardinals -- and they come from all over the world.Pope Francis said Sunday that he would hold a meeting of cardinals on February 14 "during which I will name 15 new Cardinals who, coming from 13 countries from every continent, manifest the indissoluble links between the Church of Rome and the particular Churches present in the world," according to Vatican Radio.New cardinals are always important because they set the tone in the church and also elect the next pope, CNN Senior Vatican Analyst John L. Allen said. They are sometimes referred to as the princes of the Catholic Church.The new cardinals come from countries such as Ethiopia, New Zealand and Myanmar."This is a pope who very much wants to reach out to people on the margins, and you clearly see that in this set," Allen said. "You're talking about cardinals from typically overlooked places, like Cape Verde, the Pacific island of Tonga, Panama, Thailand, Uruguay."But for the second time since Francis' election, no Americans made the list."Francis' pattern is very clear: He wants to go to the geographical peripheries rather than places that are already top-heavy with cardinals," Allen said.Christopher Bellitto, a professor of church history at Kean University in New Jersey, noted that Francis announced his new slate of cardinals on the Catholic Feast of the Epiphany, which commemorates the visit of the Magi to Jesus' birthplace in Bethlehem."On feast of three wise men from far away, the Pope's choices for cardinal say that every local church deserves a place at the big table."In other words, Francis wants a more decentralized church and wants to hear reform ideas from small communities that sit far from Catholicism's power centers, Bellitto said.That doesn't mean Francis is the first pontiff to appoint cardinals from the developing world, though. Beginning in the 1920s, an increasing number of Latin American churchmen were named cardinals, and in the 1960s, St. John XXIII, whom Francis canonized last year, appointed the first cardinals from Japan, the Philippines and Africa.In addition to the 15 new cardinals Francis named on Sunday, five retired archbishops and bishops will also be honored as cardinals.Last year, Pope Francis appointed 19 new cardinals, including bishops from Haiti and Burkina Faso.CNN's Daniel Burke and Christabelle Fombu contributed to this report.
"""
# CNN/DM答案:
# @highlight
# The 15 new cardinals will be installed on February 14
# @highlight
# They come from countries such as Myanmar and Tonga
# @highlight
# No Americans made the list this time or the previous time in Francis' papacyinputs = tokenizer(text, max_length=1024, truncation=True, return_tensors='pt')print('inputs = ', inputs)summary_ids = model.generate(inputs['input_ids'])print('\nsummary_ids = ', summary_ids)print([tokenizer.decode(g, skip_special_tokens=True, clean_up_tokenization_spaces=False) for g in summary_ids])
print(tokenizer.batch_decode(summary_ids, skip_special_tokens=True, clean_up_tokenization_spaces=False))

打印结果:

inputs =  {'input_ids': tensor([[  143, 40155,   158,   581,   109,   453,   166,   333,   169, 95987,108, 11481,  7756,   148,  1487,   114,   177,   456,   113, 35712,111, 66941,   116,   323,   112,   460, 30726,   116,  1315,   111,157,   331,   135,   149,   204,   109,   278,   107, 11481,  7756,243,  1342,   120,   178,   192,  1137,   114,   988,   113, 30726,116,   124,  1538,  1265,   198, 35871,   162,   125,   138,   442,738,   177, 18345,   170,   108,   792,   135,  1428,  1105,   135,290, 10156,   108, 14451,   109,   115,  8597, 32478,  1784,   317,109,  1887,   113,  6807,   111,   109,   970, 24353,   799,   115,109,   278,   745,   992,   112, 20525,  4474,   107,   351, 30726,116,   127,   329,   356,   262,   157,   323,   109,  4104,   115,109,  1588,   111,   163, 14094,   109,   352, 32577,   108, 11869,4244, 20525, 18672,  1084,  1054,   107,  6611,   243,   107,   322,127,  1254,  3795,   112,   130,   109, 54407,   113,   109,  4569,1887,   107,   139,   177, 30726,   116,   331,   135,  1105,   253,130, 16958,   108,   351,  3571,   111, 14838,   107,   198,   287,117,   114, 32577,   170,   221,   249,  1728,   112,  1111,   165,112,   200,   124,   109, 11691,   108,   111,   119,  2312,   236,120,   115,   136,   323,   745,  6611,   243,   107,   198,   417,131,   216,  1767,   160, 30726,   116,   135,  2222, 10912,  1262,108,   172,  5365, 23288,   108,   109,  3755,  2273,   113, 43439,108, 14668,   108,  6398,   108, 32671,   496,   343,   118,   109,453,   166,   381,  7756,   131,  2974,   108,   220,  3361,   266,109,   467,   107,   198, 59883,   131,  2293,   117,   221,   786,151,   285,  1728,   112,   275,   112,   109, 12483, 26941, 30713,3317,   880,   197,  1262,   120,   127,   506,   349,   121, 22564,122, 30726,   116,   745,  6611,   243,   107,  8751,  5706,  1418,497,   108,   114,  4609,   113,  1588,   689,   134, 69328,   502,115,   351,  3477,   108,  3151,   120,  7756,  1487,   169,   177,11598,   113, 30726,   116,   124,   109,  4569, 26717,   113,   109,60574,   108,   162, 56784,   109,   558,   113,   109, 33806,   112,1694,   131, 25910,   115, 26163,   107,   198,  1189, 11733,   113,339,  5509,  1024,   135,   571,   429,   108,   109, 11481,   131,116,  2257,   118, 30726,   416,   120,   290,   391,  1588,  8068,114,   295,   134,   109,   461,   826,   496,   222,   176,   989,108,  7756,  1728,   114,   154, 24500,  1588,   111,  1728,   112,1232,  6243,   675,   135,   360,  1724,   120,  2051,   571,   135,52403,   131,   116,   484,  3853,   108,  5706,  1418,   497,   243,107,   485,   591,   131,   144,  1021,  7756,   117,   109,   211,110, 39619, 18827,   112, 17717, 30726,   116,   135,   109,  1690,278,   108,   577,   107, 16591,   115,   109,  8821,   116,   108,142,  2186,   344,   113,  5249,   655,  1588,  3635,   195,  1729,30726,   116,   108,   111,   115,   109,  6939,   116,   108,   873,107,  1084, 61939, 12964,   108,  2901,  7756, 24828,  3792,   289,232,   108,  4486,   109,   211, 30726,   116,   135,  2466,   108,109,  6802,   111,  1922,   107,   222,   663,   112,   109,   738,177, 30726,   116,  7756,  1729,   124,  1342,   108,   668,  5774,66941,   116,   111, 35712,   138,   163,   129,  7051,   130, 30726,116,   107,  2882,   232,   108, 11481,  7756,  4486,  1925,   177,30726,   116,   108,   330, 35712,   135, 17256,   111, 58499, 55600,107, 11869,   131,   116,  4767, 18834,   111,  2333, 65534, 15391,28929,  5674,   112,   136,   731,   107,     1]]), 'attention_mask': tensor([[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]])}summary_ids =  tensor([[    0,   139,   177, 30726,   116,   331,   135,  1105,   253,   130,16958,   108,   351,  3571,   111, 14838,   110,   107,   106,  1667,3361,   266,   109,   467,   118,   109,   453,   166,   381,  7756,131,  2974,   110,   107,     1]])["The new cardinals come from countries such as Ethiopia, New Zealand and Myanmar .<n>No Americans made the list for the second time since Francis' election ."]
["The new cardinals come from countries such as Ethiopia, New Zealand and Myanmar .<n>No Americans made the list for the second time since Francis' election ."]Process finished with exit code 0



参考资料:
Transformers预训练模型使用:文本摘要 Summarization

这篇关于NLP-文本摘要:利用预训练模型进行文本摘要任务【transformers:pipeline、T5、BART、Pegasus】的文章就介绍到这儿,希望我们推荐的文章对编程师们有所帮助!



http://www.chinasem.cn/article/1128742

相关文章

利用python实现对excel文件进行加密

《利用python实现对excel文件进行加密》由于文件内容的私密性,需要对Excel文件进行加密,保护文件以免给第三方看到,本文将以Python语言为例,和大家讲讲如何对Excel文件进行加密,感兴... 目录前言方法一:使用pywin32库(仅限Windows)方法二:使用msoffcrypto-too

springboot使用Scheduling实现动态增删启停定时任务教程

《springboot使用Scheduling实现动态增删启停定时任务教程》:本文主要介绍springboot使用Scheduling实现动态增删启停定时任务教程,具有很好的参考价值,希望对大家有... 目录1、配置定时任务需要的线程池2、创建ScheduledFuture的包装类3、注册定时任务,增加、删

Pandas使用AdaBoost进行分类的实现

《Pandas使用AdaBoost进行分类的实现》Pandas和AdaBoost分类算法,可以高效地进行数据预处理和分类任务,本文主要介绍了Pandas使用AdaBoost进行分类的实现,具有一定的参... 目录什么是 AdaBoost?使用 AdaBoost 的步骤安装必要的库步骤一:数据准备步骤二:模型

使用Pandas进行均值填充的实现

《使用Pandas进行均值填充的实现》缺失数据(NaN值)是一个常见的问题,我们可以通过多种方法来处理缺失数据,其中一种常用的方法是均值填充,本文主要介绍了使用Pandas进行均值填充的实现,感兴趣的... 目录什么是均值填充?为什么选择均值填充?均值填充的步骤实际代码示例总结在数据分析和处理过程中,缺失数

Python Transformers库(NLP处理库)案例代码讲解

《PythonTransformers库(NLP处理库)案例代码讲解》本文介绍transformers库的全面讲解,包含基础知识、高级用法、案例代码及学习路径,内容经过组织,适合不同阶段的学习者,对... 目录一、基础知识1. Transformers 库简介2. 安装与环境配置3. 快速上手示例二、核心模

Redis Pipeline(管道) 详解

《RedisPipeline(管道)详解》Pipeline管道是Redis提供的一种批量执行命令的机制,通过将多个命令一次性发送到服务器并统一接收响应,减少网络往返次数(RTT),显著提升执行效率... 目录Redis Pipeline 详解1. Pipeline 的核心概念2. 工作原理与性能提升3. 核

Spring Boot 集成 Quartz并使用Cron 表达式实现定时任务

《SpringBoot集成Quartz并使用Cron表达式实现定时任务》本篇文章介绍了如何在SpringBoot中集成Quartz进行定时任务调度,并通过Cron表达式控制任务... 目录前言1. 添加 Quartz 依赖2. 创建 Quartz 任务3. 配置 Quartz 任务调度4. 启动 Sprin

Linux之计划任务和调度命令at/cron详解

《Linux之计划任务和调度命令at/cron详解》:本文主要介绍Linux之计划任务和调度命令at/cron的使用,具有很好的参考价值,希望对大家有所帮助,如有错误或未考虑完全的地方,望不吝赐教... 目录linux计划任务和调度命令at/cron一、计划任务二、命令{at}介绍三、命令语法及功能 :at

QT进行CSV文件初始化与读写操作

《QT进行CSV文件初始化与读写操作》这篇文章主要为大家详细介绍了在QT环境中如何进行CSV文件的初始化、写入和读取操作,本文为大家整理了相关的操作的多种方法,希望对大家有所帮助... 目录前言一、CSV文件初始化二、CSV写入三、CSV读取四、QT 逐行读取csv文件五、Qt如何将数据保存成CSV文件前言

C#TextBox设置提示文本方式(SetHintText)

《C#TextBox设置提示文本方式(SetHintText)》:本文主要介绍C#TextBox设置提示文本方式(SetHintText),具有很好的参考价值,希望对大家有所帮助,如有错误或未考虑... 目录C#TextBox设置提示文本效果展示核心代码总结C#TextBox设置提示文本效果展示核心代