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 BNovember 12, 2021 UTC
bert_config.json
314 BNovember 12, 2021 UTC
bind_pyt.py
5.52 KBNovember 12, 2021 UTC
bind.sh
7.17 KBNovember 12, 2021 UTC
configurations.yml
3.3 KBNovember 12, 2021 UTC
create_pretraining_data.py
17.2 KBNovember 12, 2021 UTC
Dockerfile
1.53 KBNovember 12, 2021 UTC
extract_features.py
11.87 KBNovember 12, 2021 UTC
file_utils.py
8.7 KBNovember 12, 2021 UTC
inference.py
14.48 KBNovember 12, 2021 UTC
LICENSE
11.15 KBNovember 12, 2021 UTC
modeling.py
59.34 KBNovember 12, 2021 UTC
NOTICE
147 BNovember 12, 2021 UTC
optimization.py
7 KBNovember 12, 2021 UTC
README.md
70.66 KBNovember 12, 2021 UTC
requirements.txt
258 BNovember 12, 2021 UTC
run_glue.py
28.85 KBNovember 12, 2021 UTC
run_pretraining.py
31.75 KBNovember 12, 2021 UTC
run_squad.py
54.09 KBNovember 12, 2021 UTC
run_swag.py
24.35 KBNovember 12, 2021 UTC
run.sub
2.71 KBNovember 12, 2021 UTC
schedulers.py
4.71 KBNovember 12, 2021 UTC