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MultimodalHugs is an extension of Hugging Face that offers a generalized framework for training, evaluating, and using multimodal AI models with minimal code differences, ensuring seamless compatibility with Hugging Face pipelines.

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MultimodalHugs

MultimodalHugs is an extension of Hugging Face that offers a generalized framework for training, evaluating, and using multimodal AI models with minimal code differences, ensuring seamless compatibility with Hugging Face pipelines.

Intallation

  1. Clone the repository.

  2. Navigate to the repository and Install the package.

    • Standard installation:

      cd /multimodalhugs
      pip install .
    • Developer installation:

      cd /multimodalhugs
      pip install -e .[dev]

Usage

Here you can find an example for Multimodal Translation.

Citing this work

@misc{multimodalhugs2024, 
    title={MultimodalHugs: Extending HuggingFace for Generalized Multimodal AI Model Training and Evaluation},
    author={Sant, Gerard},
    howpublished={\url{https://github.com/GerrySant/multimodalhugs}},
    year={2024}
}

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MultimodalHugs is an extension of Hugging Face that offers a generalized framework for training, evaluating, and using multimodal AI models with minimal code differences, ensuring seamless compatibility with Hugging Face pipelines.

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  • Python 100.0%