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 5, 2019 UTC
bert_config.json
314 BNovember 5, 2019 UTC
bind_pyt.py
5.52 KBNovember 5, 2019 UTC
configurations.yml
3.3 KBNovember 5, 2019 UTC
create_pretraining_data.py
17.04 KBNovember 5, 2019 UTC
Dockerfile
1.02 KBNovember 5, 2019 UTC
extract_features.py
11.87 KBNovember 5, 2019 UTC
file_utils.py
8.7 KBNovember 5, 2019 UTC
LICENSE
11.15 KBNovember 5, 2019 UTC
modeling.py
62.18 KBNovember 5, 2019 UTC
NOTICE
148 BNovember 5, 2019 UTC
optimization.py
16.44 KBNovember 5, 2019 UTC
README.md
56.41 KBNovember 5, 2019 UTC
requirements.txt
208 BNovember 5, 2019 UTC
run_glue.py
27.5 KBNovember 5, 2019 UTC
run_pretraining_inference.py
13.1 KBNovember 5, 2019 UTC
run_pretraining.py
26.5 KBNovember 5, 2019 UTC
run_squad.py
51.92 KBNovember 5, 2019 UTC
run_swag.py
24.04 KBNovember 5, 2019 UTC
run.sub
2.6 KBNovember 5, 2019 UTC
schedulers.py
3.95 KBNovember 5, 2019 UTC
tokenization.py
14.79 KBNovember 5, 2019 UTC
utils.py
847 BNovember 5, 2019 UTC