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
123 BApril 13, 2020 UTC
bert_config.json
314 BApril 13, 2020 UTC
bind_pyt.py
4.93 KBApril 13, 2020 UTC
create_pretraining_data.py
16.96 KBApril 13, 2020 UTC
Dockerfile
968 BApril 13, 2020 UTC
extract_features.py
11.87 KBApril 13, 2020 UTC
file_utils.py
8.09 KBApril 13, 2020 UTC
LICENSE
11.09 KBApril 13, 2020 UTC
modeling.py
62.18 KBApril 13, 2020 UTC
NOTICE
148 BApril 13, 2020 UTC
optimization.py
16.44 KBApril 13, 2020 UTC
README.md
50.16 KBApril 13, 2020 UTC
requirements.txt
208 BApril 13, 2020 UTC
run_glue.py
27.51 KBApril 13, 2020 UTC
run_pretraining_inference.py
13.1 KBApril 13, 2020 UTC
run_pretraining.py
27.45 KBApril 13, 2020 UTC
run_squad.py
51.83 KBApril 13, 2020 UTC
run_swag.py
24.04 KBApril 13, 2020 UTC
schedulers.py
3.28 KBApril 13, 2020 UTC
tokenization.py
14.73 KBApril 13, 2020 UTC
utils.py
240 BApril 13, 2020 UTC