NVIDIA Deep Learning Examples
NVIDIA Deep Learning Examples
BERT for PyTorch
Resource
NVIDIA Deep Learning Examples
NVIDIA Deep Learning Examples
BERT for PyTorch

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

NameSizeUpdatedActions
.dockerignore
710 BSeptember 21, 2021 UTC
bert_config.json
314 BSeptember 21, 2021 UTC
bind_pyt.py
5.52 KBSeptember 21, 2021 UTC
bind.sh
7.17 KBSeptember 21, 2021 UTC
configurations.yml
3.3 KBSeptember 21, 2021 UTC
create_pretraining_data.py
17.2 KBSeptember 21, 2021 UTC
Dockerfile
1.58 KBSeptember 21, 2021 UTC
extract_features.py
11.87 KBSeptember 21, 2021 UTC
file_utils.py
8.7 KBSeptember 21, 2021 UTC
inference.py
14.48 KBSeptember 21, 2021 UTC
LICENSE
11.15 KBSeptember 21, 2021 UTC
modeling.py
59.34 KBSeptember 21, 2021 UTC
NOTICE
147 BSeptember 21, 2021 UTC
optimization.py
7 KBSeptember 21, 2021 UTC
README.md
70.66 KBSeptember 21, 2021 UTC
requirements.txt
268 BSeptember 21, 2021 UTC
run_glue.py
28.85 KBSeptember 21, 2021 UTC
run_pretraining.py
31.75 KBSeptember 21, 2021 UTC
run_squad.py
54.09 KBSeptember 21, 2021 UTC
run_swag.py
24.35 KBSeptember 21, 2021 UTC
run.sub
2.71 KBSeptember 21, 2021 UTC
schedulers.py
4.71 KBSeptember 21, 2021 UTC

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