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Title: GitHub - google-research/bert: TensorFlow code and pre-trained models for BERT

Open Graph Title: GitHub - google-research/bert: TensorFlow code and pre-trained models for BERT

X Title: GitHub - google-research/bert: TensorFlow code and pre-trained models for BERT

Description: TensorFlow code and pre-trained models for BERT. Contribute to google-research/bert development by creating an account on GitHub.

Open Graph Description: TensorFlow code and pre-trained models for BERT. Contribute to google-research/bert development by creating an account on GitHub.

X Description: TensorFlow code and pre-trained models for BERT. Contribute to google-research/bert development by creating an account on GitHub.

Opengraph URL: https://github.com/google-research/bert

X: @github

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Domain: github.com

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.gitignorehttps://github.com/google-research/bert/blob/master/.gitignore
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CONTRIBUTING.mdhttps://github.com/google-research/bert/blob/master/CONTRIBUTING.md
CONTRIBUTING.mdhttps://github.com/google-research/bert/blob/master/CONTRIBUTING.md
LICENSEhttps://github.com/google-research/bert/blob/master/LICENSE
LICENSEhttps://github.com/google-research/bert/blob/master/LICENSE
README.mdhttps://github.com/google-research/bert/blob/master/README.md
README.mdhttps://github.com/google-research/bert/blob/master/README.md
__init__.pyhttps://github.com/google-research/bert/blob/master/__init__.py
__init__.pyhttps://github.com/google-research/bert/blob/master/__init__.py
create_pretraining_data.pyhttps://github.com/google-research/bert/blob/master/create_pretraining_data.py
create_pretraining_data.pyhttps://github.com/google-research/bert/blob/master/create_pretraining_data.py
extract_features.pyhttps://github.com/google-research/bert/blob/master/extract_features.py
extract_features.pyhttps://github.com/google-research/bert/blob/master/extract_features.py
modeling.pyhttps://github.com/google-research/bert/blob/master/modeling.py
modeling.pyhttps://github.com/google-research/bert/blob/master/modeling.py
modeling_test.pyhttps://github.com/google-research/bert/blob/master/modeling_test.py
modeling_test.pyhttps://github.com/google-research/bert/blob/master/modeling_test.py
multilingual.mdhttps://github.com/google-research/bert/blob/master/multilingual.md
multilingual.mdhttps://github.com/google-research/bert/blob/master/multilingual.md
optimization.pyhttps://github.com/google-research/bert/blob/master/optimization.py
optimization.pyhttps://github.com/google-research/bert/blob/master/optimization.py
optimization_test.pyhttps://github.com/google-research/bert/blob/master/optimization_test.py
optimization_test.pyhttps://github.com/google-research/bert/blob/master/optimization_test.py
predicting_movie_reviews_with_bert_on_tf_hub.ipynbhttps://github.com/google-research/bert/blob/master/predicting_movie_reviews_with_bert_on_tf_hub.ipynb
predicting_movie_reviews_with_bert_on_tf_hub.ipynbhttps://github.com/google-research/bert/blob/master/predicting_movie_reviews_with_bert_on_tf_hub.ipynb
requirements.txthttps://github.com/google-research/bert/blob/master/requirements.txt
requirements.txthttps://github.com/google-research/bert/blob/master/requirements.txt
run_classifier.pyhttps://github.com/google-research/bert/blob/master/run_classifier.py
run_classifier.pyhttps://github.com/google-research/bert/blob/master/run_classifier.py
run_classifier_with_tfhub.pyhttps://github.com/google-research/bert/blob/master/run_classifier_with_tfhub.py
run_classifier_with_tfhub.pyhttps://github.com/google-research/bert/blob/master/run_classifier_with_tfhub.py
run_pretraining.pyhttps://github.com/google-research/bert/blob/master/run_pretraining.py
run_pretraining.pyhttps://github.com/google-research/bert/blob/master/run_pretraining.py
run_squad.pyhttps://github.com/google-research/bert/blob/master/run_squad.py
run_squad.pyhttps://github.com/google-research/bert/blob/master/run_squad.py
sample_text.txthttps://github.com/google-research/bert/blob/master/sample_text.txt
sample_text.txthttps://github.com/google-research/bert/blob/master/sample_text.txt
tokenization.pyhttps://github.com/google-research/bert/blob/master/tokenization.py
tokenization.pyhttps://github.com/google-research/bert/blob/master/tokenization.py
tokenization_test.pyhttps://github.com/google-research/bert/blob/master/tokenization_test.py
tokenization_test.pyhttps://github.com/google-research/bert/blob/master/tokenization_test.py
READMEhttps://github.com/google-research/bert
Contributinghttps://github.com/google-research/bert
Apache-2.0 licensehttps://github.com/google-research/bert
https://github.com/google-research/bert#bert
Well-Read Students Learn Better: On the Importance of Pre-training Compact Modelshttps://arxiv.org/abs/1908.08962
herehttps://storage.googleapis.com/bert_models/2020_02_20/all_bert_models.zip
2/128 (BERT-Tiny)https://storage.googleapis.com/bert_models/2020_02_20/uncased_L-2_H-128_A-2.zip
2/256https://storage.googleapis.com/bert_models/2020_02_20/uncased_L-2_H-256_A-4.zip
2/512https://storage.googleapis.com/bert_models/2020_02_20/uncased_L-2_H-512_A-8.zip
2/768https://storage.googleapis.com/bert_models/2020_02_20/uncased_L-2_H-768_A-12.zip
4/128https://storage.googleapis.com/bert_models/2020_02_20/uncased_L-4_H-128_A-2.zip
4/256 (BERT-Mini)https://storage.googleapis.com/bert_models/2020_02_20/uncased_L-4_H-256_A-4.zip
4/512 (BERT-Small)https://storage.googleapis.com/bert_models/2020_02_20/uncased_L-4_H-512_A-8.zip
4/768https://storage.googleapis.com/bert_models/2020_02_20/uncased_L-4_H-768_A-12.zip
6/128https://storage.googleapis.com/bert_models/2020_02_20/uncased_L-6_H-128_A-2.zip
6/256https://storage.googleapis.com/bert_models/2020_02_20/uncased_L-6_H-256_A-4.zip
6/512https://storage.googleapis.com/bert_models/2020_02_20/uncased_L-6_H-512_A-8.zip
6/768https://storage.googleapis.com/bert_models/2020_02_20/uncased_L-6_H-768_A-12.zip
8/128https://storage.googleapis.com/bert_models/2020_02_20/uncased_L-8_H-128_A-2.zip
8/256https://storage.googleapis.com/bert_models/2020_02_20/uncased_L-8_H-256_A-4.zip
8/512 (BERT-Medium)https://storage.googleapis.com/bert_models/2020_02_20/uncased_L-8_H-512_A-8.zip
8/768https://storage.googleapis.com/bert_models/2020_02_20/uncased_L-8_H-768_A-12.zip
10/128https://storage.googleapis.com/bert_models/2020_02_20/uncased_L-10_H-128_A-2.zip
10/256https://storage.googleapis.com/bert_models/2020_02_20/uncased_L-10_H-256_A-4.zip
10/512https://storage.googleapis.com/bert_models/2020_02_20/uncased_L-10_H-512_A-8.zip
10/768https://storage.googleapis.com/bert_models/2020_02_20/uncased_L-10_H-768_A-12.zip
12/128https://storage.googleapis.com/bert_models/2020_02_20/uncased_L-12_H-128_A-2.zip
12/256https://storage.googleapis.com/bert_models/2020_02_20/uncased_L-12_H-256_A-4.zip
12/512https://storage.googleapis.com/bert_models/2020_02_20/uncased_L-12_H-512_A-8.zip
12/768 (BERT-Base)https://storage.googleapis.com/bert_models/2020_02_20/uncased_L-12_H-768_A-12.zip
BERT-Large, Uncased (Whole Word Masking)https://storage.googleapis.com/bert_models/2019_05_30/wwm_uncased_L-24_H-1024_A-16.zip
BERT-Large, Cased (Whole Word Masking)https://storage.googleapis.com/bert_models/2019_05_30/wwm_cased_L-24_H-1024_A-16.zip
TensorFlow Hubhttps://tfhub.dev
Colabhttps://colab.sandbox.google.com/github/google-research/bert/blob/master/predicting_movie_reviews_with_bert_on_tf_hub.ipynb
BERT-Base, Multilingual Casedhttps://storage.googleapis.com/bert_models/2018_11_23/multi_cased_L-12_H-768_A-12.zip
PyTorch version of BERT availablehttps://github.com/huggingface/pytorch-pretrained-BERT
Chainer version of BERT availablehttps://github.com/soskek/bert-chainer
BERT-Base, Multilingualhttps://storage.googleapis.com/bert_models/2018_11_03/multilingual_L-12_H-768_A-12.zip
BERT-Base, Chinesehttps://storage.googleapis.com/bert_models/2018_11_03/chinese_L-12_H-768_A-12.zip
Multilingual READMEhttps://github.com/google-research/bert/blob/master/multilingual.md
https://github.com/google-research/bert#introduction
https://arxiv.org/abs/1810.04805https://arxiv.org/abs/1810.04805
SQuAD v1.1https://rajpurkar.github.io/SQuAD-explorer/
download the pre-trained modelshttps://github.com/google-research/bert#pre-trained-models
run a state-of-the-art fine-tuninghttps://github.com/google-research/bert#fine-tuning-with-bert
https://github.com/google-research/bert#what-is-bert
word2vechttps://www.tensorflow.org/tutorials/representation/word2vec
GloVehttps://nlp.stanford.edu/projects/glove/
Semi-supervised Sequence Learninghttps://arxiv.org/abs/1511.01432
Generative Pre-Traininghttps://blog.openai.com/language-unsupervised/
ELMohttps://allennlp.org/elmo
ULMFithttp://nlp.fast.ai/classification/2018/05/15/introducting-ulmfit.html
Transformerhttps://arxiv.org/abs/1706.03762
BookCorpushttp://yknzhu.wixsite.com/mbweb
https://github.com/google-research/bert#what-has-been-released-in-this-repository
Transformerhttps://arxiv.org/abs/1706.03762
https://github.com/google-research/bert#pre-trained-models
Multilingual READMEhttps://github.com/google-research/bert/blob/master/multilingual.md
BERT-Large, Uncased (Whole Word Masking)https://storage.googleapis.com/bert_models/2019_05_30/wwm_uncased_L-24_H-1024_A-16.zip
BERT-Large, Cased (Whole Word Masking)https://storage.googleapis.com/bert_models/2019_05_30/wwm_cased_L-24_H-1024_A-16.zip
BERT-Base, Uncasedhttps://storage.googleapis.com/bert_models/2018_10_18/uncased_L-12_H-768_A-12.zip
BERT-Large, Uncasedhttps://storage.googleapis.com/bert_models/2018_10_18/uncased_L-24_H-1024_A-16.zip
BERT-Base, Casedhttps://storage.googleapis.com/bert_models/2018_10_18/cased_L-12_H-768_A-12.zip
BERT-Large, Casedhttps://storage.googleapis.com/bert_models/2018_10_18/cased_L-24_H-1024_A-16.zip
BERT-Base, Multilingual Cased (New, recommended)https://storage.googleapis.com/bert_models/2018_11_23/multi_cased_L-12_H-768_A-12.zip
BERT-Base, Multilingual Uncased (Orig, not recommended)https://storage.googleapis.com/bert_models/2018_11_03/multilingual_L-12_H-768_A-12.zip
BERT-Base, Chinesehttps://storage.googleapis.com/bert_models/2018_11_03/chinese_L-12_H-768_A-12.zip
https://github.com/google-research/bert#fine-tuning-with-bert
out-of-memory issueshttps://github.com/google-research/bert#out-of-memory-issues
https://github.com/google-research/bert#fine-tuning-with-cloud-tpus
Google Cloud TPU tutorialhttps://cloud.google.com/tpu/docs/tutorials/mnist
BERT FineTuning with Cloud TPUshttps://colab.research.google.com/github/tensorflow/tpu/blob/master/tools/colab/bert_finetuning_with_cloud_tpus.ipynb
https://github.com/google-research/bert#sentence-and-sentence-pair-classification-tasks
GLUE datahttps://gluebenchmark.com/tasks
this scripthttps://gist.github.com/W4ngatang/60c2bdb54d156a41194446737ce03e2e
https://github.com/google-research/bert#prediction-from-classifier
https://github.com/google-research/bert#squad-11
SQuAD websitehttps://rajpurkar.github.io/SQuAD-explorer/
train-v1.1.jsonhttps://rajpurkar.github.io/SQuAD-explorer/dataset/train-v1.1.json
dev-v1.1.jsonhttps://rajpurkar.github.io/SQuAD-explorer/dataset/dev-v1.1.json
evaluate-v1.1.pyhttps://github.com/allenai/bi-att-flow/blob/master/squad/evaluate-v1.1.py
TriviaQAhttp://nlp.cs.washington.edu/triviaqa/
https://github.com/google-research/bert#squad-20
train-v2.0.jsonhttps://rajpurkar.github.io/SQuAD-explorer/dataset/train-v2.0.json
dev-v2.0.jsonhttps://rajpurkar.github.io/SQuAD-explorer/dataset/dev-v2.0.json
evaluate-v2.0.pyhttps://worksheets.codalab.org/rest/bundles/0x6b567e1cf2e041ec80d7098f031c5c9e/contents/blob/
https://github.com/google-research/bert#out-of-memory-issues
Gradient checkpointinghttps://github.com/openai/gradient-checkpointing
https://github.com/google-research/bert#using-bert-to-extract-fixed-feature-vectors-like-elmo
Tokenizationhttps://github.com/google-research/bert#tokenization
https://github.com/google-research/bert#tokenization
WordPiecehttps://github.com/tensorflow/tensor2tensor/blob/master/tensor2tensor/data_generators/text_encoder.py
https://github.com/google-research/bert#pre-training-with-bert
spaCyhttps://spacy.io/
https://github.com/google-research/bert#pre-training-tips-and-caveats
preemptible Cloud TPU v2https://cloud.google.com/tpu/docs/pricing
https://github.com/google-research/bert#pre-training-data
the latest dumphttps://dumps.wikimedia.org/enwiki/latest/enwiki-latest-pages-articles.xml.bz2
WikiExtractor.pyhttps://github.com/attardi/wikiextractor
BookCorpushttp://yknzhu.wixsite.com/mbweb
Project Guttenberg Datasethttps://web.eecs.umich.edu/~lahiri/gutenberg_dataset.html
Common Crawlhttp://commoncrawl.org/
https://github.com/google-research/bert#learning-a-new-wordpiece-vocabulary
Google's SentencePiece libraryhttps://github.com/google/sentencepiece
tensor2tensor's WordPiece generation scripthttps://github.com/tensorflow/tensor2tensor/blob/master/tensor2tensor/data_generators/text_encoder_build_subword.py
Rico Sennrich's Byte Pair Encoding libraryhttps://github.com/rsennrich/subword-nmt
https://github.com/google-research/bert#using-bert-in-colab
Colabhttps://colab.research.google.com
BERT FineTuning with Cloud TPUshttps://colab.research.google.com/github/tensorflow/tpu/blob/master/tools/colab/bert_finetuning_with_cloud_tpus.ipynb
https://github.com/google-research/bert#faq
https://github.com/google-research/bert#is-this-code-compatible-with-cloud-tpus-what-about-gpus
https://github.com/google-research/bert#i-am-getting-out-of-memory-errors-what-is-wrong
out-of-memory issueshttps://github.com/google-research/bert#out-of-memory-issues
https://github.com/google-research/bert#is-there-a-pytorch-version-available
PyTorch version of BERT availablehttps://github.com/huggingface/pytorch-pretrained-BERT
https://github.com/google-research/bert#is-there-a-chainer-version-available
Chainer version of BERT availablehttps://github.com/soskek/bert-chainer
https://github.com/google-research/bert#will-models-in-other-languages-be-released
https://github.com/google-research/bert#will-models-larger-than-bert-large-be-released
https://github.com/google-research/bert#what-license-is-this-library-released-under
https://github.com/google-research/bert#how-do-i-cite-bert
the Arxiv paperhttps://arxiv.org/abs/1810.04805
https://github.com/google-research/bert#disclaimer
https://github.com/google-research/bert#contact-information
arxiv.org/abs/1810.04805https://arxiv.org/abs/1810.04805
nlp https://github.com/topics/nlp
natural-language-processing https://github.com/topics/natural-language-processing
google https://github.com/topics/google
tensorflow https://github.com/topics/tensorflow
natural-language-understanding https://github.com/topics/natural-language-understanding
Readme https://github.com/google-research/bert#readme-ov-file
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+ 14 contributorshttps://github.com/google-research/bert/graphs/contributors
Python 76.3% https://github.com/google-research/bert/search?l=python
Jupyter Notebook 23.7% https://github.com/google-research/bert/search?l=jupyter-notebook
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