Instructions to use CatSnowdrop/universal_onnxruntime with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TensorRT
How to use CatSnowdrop/universal_onnxruntime with TensorRT:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Download onnxruntime/quantization/execution_providers/qnn/__init__.py from CatSnowdrop/universal_onnxruntime: direct link, hf CLI and curl.
- Browser
- Download file 118 Bytes
-
https://huggingface.co/CatSnowdrop/universal_onnxruntime/resolve/main/onnxruntime/quantization/execution_providers/qnn/__init__.py
- Command line
-
hf download hf://CatSnowdrop/universal_onnxruntime/onnxruntime/quantization/execution_providers/qnn/__init__.py
-
curl -L -o __init__.py https://huggingface.co/CatSnowdrop/universal_onnxruntime/resolve/main/onnxruntime/quantization/execution_providers/qnn/__init__.py
118 Bytes
| from .preprocess import qnn_preprocess_model # noqa: F401 | |
| from .quant_config import get_qnn_qdq_config # noqa: F401 | |