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
File size: 518 Bytes
610d9c2 | 1 2 3 4 5 6 7 8 9 10 11 | # -------------------------------------------------------------------------
# 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
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