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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 |
|---|---|---|---|
.dockerignore | 710 B | June 16, 2020 UTC | |
bert_config.json | 314 B | June 16, 2020 UTC | |
bind_pyt.py | 5.52 KB | June 16, 2020 UTC | |
configurations.yml | 3.3 KB | June 16, 2020 UTC | |
create_pretraining_data.py | 17.2 KB | June 16, 2020 UTC | |
Dockerfile | 1.49 KB | June 16, 2020 UTC | |
extract_features.py | 11.87 KB | June 17, 2020 UTC | |
file_utils.py | 8.7 KB | June 17, 2020 UTC | |
inference.py | 14.48 KB | June 17, 2020 UTC | |
LICENSE | 11.09 KB | June 16, 2020 UTC | |
modeling.py | 59.25 KB | June 17, 2020 UTC | |
NOTICE | 148 B | June 16, 2020 UTC | |
optimization.py | 7 KB | June 17, 2020 UTC | |
README.md | 60.31 KB | June 16, 2020 UTC | |
requirements.txt | 208 B | June 17, 2020 UTC | |
run_glue.py | 30.79 KB | June 17, 2020 UTC | |
run_pretraining_inference.py | 14.11 KB | June 17, 2020 UTC | |
run_pretraining.py | 31.41 KB | June 17, 2020 UTC | |
run_squad.py | 53.92 KB | June 17, 2020 UTC | |
run_swag.py | 24.13 KB | June 17, 2020 UTC | |
run.sub | 2.6 KB | June 17, 2020 UTC | |
schedulers.py | 4.71 KB | June 17, 2020 UTC | |
tokenization.py | 14.79 KB | June 17, 2020 UTC |