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/tools/__init__.py from CatSnowdrop/universal_onnxruntime: direct link, hf CLI and curl.
- Browser
- Download file 518 Bytes
-
https://huggingface.co/CatSnowdrop/universal_onnxruntime/resolve/main/onnxruntime/tools/__init__.py
- Command line
-
hf download hf://CatSnowdrop/universal_onnxruntime/onnxruntime/tools/__init__.py
-
curl -L -o __init__.py https://huggingface.co/CatSnowdrop/universal_onnxruntime/resolve/main/onnxruntime/tools/__init__.py
518 Bytes
| # ------------------------------------------------------------------------- | |
| # Copyright (c) Microsoft Corporation. All rights reserved. | |
| # Licensed under the MIT License. | |
| # -------------------------------------------------------------------------- | |
| # appended to the __init__.py in the onnxruntime module's 'tools' folder from /tools/python/util/__init__append.py | |
| import importlib.util | |
| have_torch = importlib.util.find_spec("torch") | |
| if have_torch: | |
| from .pytorch_export_helpers import infer_input_info # noqa: F401 | |