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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 | 870 B | April 28, 2021 UTC | |
classifier_data_lib.py | 19.1 KB | April 28, 2021 UTC | |
common_flags.py | 3.94 KB | April 28, 2021 UTC | |
create_finetuning_data.py | 6.61 KB | April 28, 2021 UTC | |
create_pretraining_data.py | 22.85 KB | April 28, 2021 UTC | |
dllogger_class.py | 2.6 KB | April 28, 2021 UTC | |
Dockerfile | 1.74 KB | April 28, 2021 UTC | |
gpu_affinity.py | 1.97 KB | April 28, 2021 UTC | |
input_pipeline.py | 8.58 KB | April 28, 2021 UTC | |
model_saving_utils.py | 4.13 KB | April 28, 2021 UTC | |
README.md | 73.03 KB | April 28, 2021 UTC |