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
1.06 KBJuly 8, 2022 UTC
bind_pyt.py
5.52 KBJuly 8, 2022 UTC
bind.sh
7.17 KBJuly 8, 2022 UTC
configurations.yml
3.3 KBJuly 8, 2022 UTC
create_pretraining_data.py
17.2 KBJuly 8, 2022 UTC
Dockerfile
1.18 KBJuly 8, 2022 UTC
extract_features.py
11.9 KBJuly 8, 2022 UTC
file_utils.py
11.63 KBJuly 8, 2022 UTC
LICENSE
11.15 KBJuly 8, 2022 UTC
NOTICE
303 BJuly 8, 2022 UTC
README.md
66.04 KBJuly 8, 2022 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.