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 BMarch 24, 2020 UTC
bert_config.json
314 BMarch 24, 2020 UTC
bind_pyt.py
5.52 KBMarch 24, 2020 UTC
configurations.yml
3.3 KBMarch 24, 2020 UTC
create_pretraining_data.py
17.04 KBMarch 24, 2020 UTC
Dockerfile
1.17 KBMarch 24, 2020 UTC
extract_features.py
11.87 KBMarch 24, 2020 UTC
file_utils.py
8.7 KBMarch 24, 2020 UTC
inference.py
21.92 KBMarch 24, 2020 UTC
LICENSE
11.09 KBMarch 24, 2020 UTC
modeling.py
62.18 KBMarch 24, 2020 UTC
NOTICE
148 BMarch 24, 2020 UTC
optimization.py
7 KBMarch 24, 2020 UTC
README.md
58.94 KBMarch 24, 2020 UTC
requirements.txt
208 BMarch 24, 2020 UTC
run_glue.py
30.7 KBMarch 24, 2020 UTC
run_pretraining_inference.py
14.11 KBMarch 24, 2020 UTC
run_pretraining.py
28.36 KBMarch 24, 2020 UTC
run_squad.py
55.25 KBMarch 24, 2020 UTC
run_swag.py
24.05 KBMarch 24, 2020 UTC
run.sub
2.6 KBMarch 24, 2020 UTC
schedulers.py
4.71 KBMarch 24, 2020 UTC
tokenization.py
14.79 KBMarch 24, 2020 UTC
utils.py
1.15 KBMarch 24, 2020 UTC