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Export trained PyTorch models to various formats (ONNX, TorchScript, TensorRT) and upload to model registries (Hugging Face Hub, MLflow). Use when deploying models, sharing trained weights, or preparing for production inference.
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ML Model Export
Export trained PyTorch models to various formats for deployment and sharing.
Overview
Model export enables:
Cross-platform deployment (ONNX) Production serving (TorchScript) Optimized inference (TensorRT, OpenVINO) Model sharing (Hugging Face Hub, MLflow) Mobile deployment (TorchScript Mobile, ONNX)
Export Formats
1. ONNX (Open Neural Network Exchange)
Benefits:
Cross-framework compatibility (PyTorch → TensorFlow, etc.) Hardware optimization
[Description truncada. Veja o README completo no GitHub.]
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