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README.md
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# SAFE Example Submission
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# SAFE Example Submission with Custom Environment
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This is an example of a submission that includes a custom environment
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So instead of using the default environment of the submission, we first create a custome environment, package it with conda-pack and then push to the model hub in addition to the rest of the files.
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Here are the steps:
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1. Determine the environment that you want and save to the `requirements-custom.txt` file.
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- The best way is to start from the base competition image, create a new environment, test it with your model and use `pip freeze` to export it.
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to start the container:
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```bash
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docker run -it --rm --gpus all -v /path/to/local:/app/custom-env huggingface/competitions:latest bash
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```
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to create an environment:
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```bash
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conda init
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source ~/.bashrc
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conda create -n custom python=3.10 -y
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conda activate custom
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```
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2. Export the environment with `conda-pack` to a `.tar.gz` file.
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Run `docker-compose up`. This will pull the base competition image, copy the files into the container and create a new environment save it.
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Change the local place where the volume `/app/custom-env` mounts in the docker-compose file. It will run `make_custom_env.sh` inside the container`.
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```bash
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conda init
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source ~/.bashrc
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conda create -n custom python=3.10 -y
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conda activate custom
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pip install -r requirements-custom.txt
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export OUTPUT=/app/custom-env/custom.tar.gz
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conda deactivate
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pip install conda-pack
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conda-pack -n custom -o $OUTPUT
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```
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3. Upload the enviroment. Since the environment file is large. It's better to upload it seperately using fast HF_TRANSFER.
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Make sure to install `pip install huggingface_hub[hf_transder]`.
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```bash
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bash upload_env_file
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```
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Make sure to change the path to your env file in the script.
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5. During runtime, `script.py` unpack the environment and run your model in your custome environment
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