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Introduction

This repository hosts a project associated with Hugging Face, a prominent platform for machine learning models, datasets, and more. The project is managed by the user USERNAME23231.

Architecture

The specific architecture details of the model or system hosted in this repository are not provided within the README.md file. Users interested in the architecture should refer to additional documentation or the model card associated with the project.

Training

Information on the training process is not provided in the available README.md file. Users should consult the model card or other documentation for insights into how the model was trained.

Guide: Running Locally

To run this project locally, follow these general steps:

1. Clone the Repository: Use Git to clone the repository to your local machine.

   git clone https://github.com/username23231/repo_name.git
   

2. Install Dependencies: Navigate to the project directory and install required packages.

   cd repo_name
   pip install -r requirements.txt
   

3. Configure Environment: Ensure that your environment is set up according to the project's requirements (e.g., Python version, environment variables).
4. Run the Project: Execute the main script or application entry point.

   python main.py
   

For optimal performance, consider using cloud GPUs such as those available from AWS, Google Cloud, or Azure.

License

The project is licensed under the BigScience BLOOM RAIL 1.0 license. Users should review this license to understand the usage rights and restrictions.