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 BAugust 14, 2020 UTC
bert_config.json
314 BAugust 14, 2020 UTC
bind_pyt.py
5.52 KBAugust 14, 2020 UTC
bind.sh
6.58 KBAugust 14, 2020 UTC
configurations.yml
3.3 KBAugust 14, 2020 UTC
create_pretraining_data.py
17.2 KBAugust 14, 2020 UTC
Dockerfile
1.58 KBAugust 14, 2020 UTC
extract_features.py
11.87 KBAugust 14, 2020 UTC
file_utils.py
8.7 KBAugust 14, 2020 UTC
inference.py
14.48 KBAugust 14, 2020 UTC
LICENSE
11.15 KBAugust 14, 2020 UTC
modeling.py
59.52 KBAugust 14, 2020 UTC
NOTICE
148 BAugust 14, 2020 UTC
optimization.py
7 KBAugust 14, 2020 UTC
README.md
64.5 KBAugust 14, 2020 UTC
requirements.txt
268 BAugust 14, 2020 UTC
run_glue.py
31.01 KBAugust 14, 2020 UTC
run_pretraining.py
31.75 KBAugust 14, 2020 UTC
run_squad.py
54.09 KBAugust 14, 2020 UTC
run_swag.py
24.35 KBAugust 14, 2020 UTC
run.sub
2.71 KBAugust 14, 2020 UTC
schedulers.py
4.71 KBAugust 14, 2020 UTC

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