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 BFebruary 21, 2020 UTC
bert_config.json
314 BFebruary 21, 2020 UTC
bind_pyt.py
5.52 KBFebruary 21, 2020 UTC
configurations.yml
3.3 KBFebruary 21, 2020 UTC
create_pretraining_data.py
17.04 KBFebruary 21, 2020 UTC
Dockerfile
1.02 KBFebruary 21, 2020 UTC
extract_features.py
11.87 KBFebruary 21, 2020 UTC
file_utils.py
8.7 KBFebruary 21, 2020 UTC
LICENSE
11.09 KBFebruary 21, 2020 UTC
modeling.py
62.18 KBFebruary 21, 2020 UTC
NOTICE
148 BFebruary 21, 2020 UTC
optimization.py
7.01 KBFebruary 21, 2020 UTC
README.md
58.9 KBFebruary 21, 2020 UTC
requirements.txt
208 BFebruary 21, 2020 UTC
run_glue.py
30.7 KBFebruary 21, 2020 UTC
run_pretraining_inference.py
13.17 KBFebruary 21, 2020 UTC
run_pretraining.py
26.56 KBFebruary 21, 2020 UTC
run_squad.py
52.07 KBFebruary 21, 2020 UTC
run_swag.py
24.05 KBFebruary 21, 2020 UTC
run.sub
2.6 KBFebruary 21, 2020 UTC
schedulers.py
4.71 KBFebruary 21, 2020 UTC
tokenization.py
14.79 KBFebruary 21, 2020 UTC
utils.py
847 BFebruary 21, 2020 UTC