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

NVIDIA uses cookies to improve your experience on our web site. We and our third-party partners also use cookies and other tools to collect and record information you provide as well as information about your interactions with our websites for performance improvement, analytics, and to assist in marketing efforts. By clicking "Accept All", you consent to our use of cookies and other tools as described in our Cookie Policy. You can manage your cookie settings by clicking on "Manage Settings." By continuing to use this site or by clicking one of the buttons below, you agree to our Terms of Service (which contains important waivers). Please see our Privacy Policy for more information on our privacy practices.