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							- # Copyright (c) 2020 NVIDIA Corporation.  All rights reserved.
 
- # To build the docker container, run: $ sudo docker build -t ai-multi-gpu:latest .
 
- # To run: $ sudo docker run --rm -it --gpus=all -p 8888:8888 -p 8000:8000 ai-multi-gpu:latest
 
- # Finally, open http://127.0.0.1:8888/
 
- # Select Base Image 
 
- FROM nvcr.io/nvidia/pytorch:21.03-py3
 
- # Update the repo
 
- RUN apt-get update -y
 
- # Install required python packages
 
- RUN pip3 install tokenizers transformers ipywidgets widgetsnbextension  
 
- RUN jupyter nbextension enable --py widgetsnbextension
 
- RUN pip3 install nvtx ftfy langdetect numpy torch pandas nltk sentencepiece boto3 tqdm regex bs4 htmlmin tldextract sentence-splitter
 
- ##### TODO - From the Final Repo Changing this 
 
- # TO COPY the data 
 
- COPY English/ /workspace/
 
- ## Uncomment this line to run Jupyter notebook by default
 
- CMD jupyter-lab --no-browser --allow-root --ip=0.0.0.0 --port=8888 --NotebookApp.token="" --notebook-dir=/workspace/python/
 
 
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