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/transformers/models/bart/__init__.py from CatSnowdrop/universal_onnxruntime: direct link, hf CLI and curl.
- Browser
- Download file 483 Bytes
-
https://huggingface.co/CatSnowdrop/universal_onnxruntime/resolve/main/onnxruntime/transformers/models/bart/__init__.py
- Command line
-
hf download hf://CatSnowdrop/universal_onnxruntime/onnxruntime/transformers/models/bart/__init__.py
-
curl -L -o __init__.py https://huggingface.co/CatSnowdrop/universal_onnxruntime/resolve/main/onnxruntime/transformers/models/bart/__init__.py
483 Bytes
| # ------------------------------------------------------------------------- | |
| # Copyright (c) Microsoft Corporation. All rights reserved. | |
| # Licensed under the MIT License. | |
| # -------------------------------------------------------------------------- | |
| import os.path | |
| import sys | |
| sys.path.append(os.path.dirname(__file__)) | |
| transformers_dir = os.path.normpath(os.path.join(os.path.dirname(__file__), "..", "..")) | |
| if transformers_dir not in sys.path: | |
| sys.path.append(transformers_dir) | |