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NVIDIA
NVIDIA
BERT for TensorFlow
Resource
NVIDIA
NVIDIA
BERT for TensorFlow

BERT is a method of pre-training language representations which obtains state-of-the-art results on a wide array of NLP tasks.

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__init__.py
616 BSeptember 13, 2019 UTC
.dockerignore
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.gitmodules
156 BSeptember 13, 2019 UTC
configurations.yml
4.15 KBSeptember 13, 2019 UTC
CONTRIBUTING.md
1.29 KBSeptember 13, 2019 UTC
Dockerfile
949 BSeptember 13, 2019 UTC
extract_features.py
13.57 KBSeptember 13, 2019 UTC
fp16_utils.py
1.47 KBSeptember 13, 2019 UTC
fused_layer_norm.py
5.49 KBSeptember 13, 2019 UTC
gpu_environment.py
1.53 KBSeptember 13, 2019 UTC
LICENSE
11.09 KBSeptember 13, 2019 UTC
modeling_test.py
8.98 KBSeptember 13, 2019 UTC
modeling.py
37.83 KBSeptember 13, 2019 UTC
multilingual.md
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NOTICE
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optimization_test.py
1.68 KBSeptember 13, 2019 UTC
optimization.py
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predicting_movie_reviews_with_bert_on_tf_hub.ipynbView Notebook
64.93 KBSeptember 13, 2019 UTC
README.md
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requirements.txt
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run_classifier_with_tfhub.py
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run_classifier.py
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run.sub
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