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 BApril 9, 2021 UTC
bert_config.json
314 BApril 9, 2021 UTC
bind_pyt.py
5.52 KBApril 9, 2021 UTC
bind.sh
7.17 KBApril 9, 2021 UTC
configurations.yml
3.3 KBApril 9, 2021 UTC
create_pretraining_data.py
17.2 KBApril 9, 2021 UTC
Dockerfile
1.58 KBApril 9, 2021 UTC
extract_features.py
11.87 KBApril 9, 2021 UTC
file_utils.py
8.7 KBApril 9, 2021 UTC
inference.py
14.48 KBApril 9, 2021 UTC
LICENSE
11.15 KBApril 9, 2021 UTC
modeling.py
59.34 KBApril 9, 2021 UTC
NOTICE
147 BApril 9, 2021 UTC
optimization.py
7 KBApril 9, 2021 UTC
README.md
70.29 KBApril 9, 2021 UTC
requirements.txt
268 BApril 9, 2021 UTC
run_glue.py
28.85 KBApril 9, 2021 UTC
run_pretraining.py
31.75 KBApril 9, 2021 UTC
run_squad.py
54.09 KBApril 9, 2021 UTC
run_swag.py
24.35 KBApril 9, 2021 UTC
run.sub
2.71 KBApril 9, 2021 UTC
schedulers.py
4.71 KBApril 9, 2021 UTC