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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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| Name | Size | Updated | Actions |
|---|---|---|---|
__init__.py | 616 B | October 2, 2019 UTC | |
.dockerignore | 54 B | October 2, 2019 UTC | |
.gitmodules | 156 B | October 2, 2019 UTC | |
CONTRIBUTING.md | 1.29 KB | October 2, 2019 UTC | |
Dockerfile | 806 B | October 2, 2019 UTC | |
extract_features.py | 13.57 KB | October 2, 2019 UTC | |
fp16_utils.py | 1.47 KB | October 2, 2019 UTC | |
fused_layer_norm.py | 5.49 KB | October 2, 2019 UTC | |
gpu_environment.py | 1.53 KB | October 2, 2019 UTC | |
LICENSE | 11.09 KB | October 2, 2019 UTC | |
modeling.py | 37.83 KB | October 2, 2019 UTC | |
NOTICE | 158 B | October 2, 2019 UTC | |
README.md | 66.55 KB | October 2, 2019 UTC |