dayyass/muse_tf2pt
Convert MUSE from TensorFlow to PyTorch and ONNX
This project allows developers to use a powerful multilingual sentence embedding model, MUSE, in PyTorch or ONNX formats. It takes the original TensorFlow model and converts it, providing a model that can process text in many languages to generate numerical representations (embeddings). Machine learning engineers and data scientists can use these embeddings for tasks like semantic search, text classification, or cross-lingual information retrieval.
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Use this if you are a machine learning engineer or data scientist working with multilingual text and prefer to use PyTorch or ONNX for model inference or further fine-tuning.
Not ideal if you are exclusively working within a TensorFlow environment and do not need to integrate with PyTorch or ONNX ecosystems.
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Language
Jupyter Notebook
License
MIT
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Last pushed
May 22, 2024
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