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/logger.py from CatSnowdrop/universal_onnxruntime: direct link, hf CLI and curl.
- Browser
- Download file 322 Bytes
-
https://huggingface.co/CatSnowdrop/universal_onnxruntime/resolve/main/onnxruntime/tools/logger.py
- Command line
-
hf download hf://CatSnowdrop/universal_onnxruntime/onnxruntime/tools/logger.py
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curl -L -o logger.py https://huggingface.co/CatSnowdrop/universal_onnxruntime/resolve/main/onnxruntime/tools/logger.py
322 Bytes
| # Copyright (c) Microsoft Corporation. All rights reserved. | |
| # Licensed under the MIT License. | |
| import logging | |
| def get_logger(name, level=logging.DEBUG): | |
| logging.basicConfig(format="%(asctime)s %(name)s [%(levelname)s] - %(message)s") | |
| logger = logging.getLogger(name) | |
| logger.setLevel(level) | |
| return logger | |