optimum
https://github.com/huggingface/optimum
Python
🚀 Accelerate training and inference of 🤗 Transformers and 🤗 Diffusers with easy to use hardware optimization tools
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- Issues
- Code snippets from `fx/quantization/functions.py` are failing
- Whisper ONNX model speed drop when setting forced_decoder_ids
- [New task] Visual Question Answering
- IO Binding for ONNX Non-CUDAExecutionProviders
- Corrupted-tflite-weights while getting a model from huggingface
- Output of coverted onnx model does not produce same output of original model.
- AssertionError: Padding_idx must be within num_embeddings
- NestedTensorImpl doesn't support sizes AFTER BetterTransformer.transform( model )
- fail to log model by mlflow
- Is it possible to compile pipeline (with tokenizer) to ONNX Runtime?
- Docs
- Python not yet supported