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Text Classification with BERT and NeMo
Container
NVIDIA
NVIDIA
Text Classification with BERT and NeMo

Text Classification with BERT and NeMo. This NeMo application trains text classification models using single-GPU or multi-GPU. We log performance metrics and visualize them with TensorBoard. We show how to do inference with NeMo, and we visualize BERT embeddings before and after fine-tuning.

LayerLabelCreated
7a4d1911152d441a25da4fbf1d9ed627500d551c11237f036a58b8040e8b2e72RUN
/bin/sh
07/09/2020 9:16 PM UTC
85d21a04d5c31dc62025dca457bb186db9300d231530fd3ba585ea7539cc3c0fENTRYPOINT
/bin/sh
07/09/2020 9:16 PM UTC
a620e45418583c57263ce446ab81ef89ca82a51c082b4835b28425766345037dCOPY
dir:d65c1de4f102bb86821db949911035b12d54f6071388fc716744d5a4642ff3bf in figures
07/09/2020 9:16 PM UTC
6b9913275827b5b89af296a846a5850bbb393507d4fbf1c5cdc7f4a7e6eedacfRUN
mkdir figures
07/09/2020 9:16 PM UTC
6f954cf7d4d23b179f76f60b303ecd6b447141f2ba79299425b10632835594e9WORKDIR
/NeMo-0.10.1/examples/nlp/text_classification
07/09/2020 9:16 PM UTC
f333f9782430725cbe755fd087f050bca78bfc4cfbe73e86860711fa96ff474bCOPY
file:18974cc708050d04d8cdac497c31e58e30b5338b979c10dab3db6cdbc5e1cb87 in /NeMo-0.10.1/examples/nlp/text_classification
07/09/2020 9:16 PM UTC
4107e6fa0e290a7bded40cc53cc7a833f65c124e12a590330814dd4f846e9cc8COPY
dir:a480cbec96ba5ec0d812a778d9f3c79b39914c17ab05a554257dd500ff7aebf3 in /root/.jupyter
07/09/2020 9:16 PM UTC
9642087bb7973fe17368c30bbf16c5d1e8365f1b5c81356e4aecbb34113f6d7dRUN
cd /NeMo-0.10.1 &&
  bash reinstall.sh
07/09/2020 9:16 PM UTC
78880eed72dc931cbd4ee3602dc8ef72d4e6c305b2ca70f13bcf8219d4877da8COPY
dir:d5c7c627e572c85a1d208484c1364669bf468865cf2137959f9910d61b3d462b in /NeMo-0.10.1
07/09/2020 9:15 PM UTC
251fb371aa49f01ab66f9a3e8ab6b6eb5dc33548dc405ab7bcfdb9f636641265RUN
mkdir /NeMo-0.10.1
07/09/2020 9:15 PM UTC
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