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README.md
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# CLIP Export Examples
The examples in `clip_onnx_export.py` provide the steps needed to export a CLIP model using sparseml's onnx exporting functionality. The models and pretrained weights are pulled in from [OpenClip](https://github.com/mlfoundations/open_clip/tree/main) and the command line tools provided allow exporting of a given model's Text and Visual branches. See the OpenClip repository for a full list of available models. For the CoCa/Caption models available in OpenClip, an additional text-decoder is also exported.
## Installation
The examples provided require `open_clip_torch==2.20.0` to be installed along with **torch nighly**. To work within the `sparseml` environment, be sure to set the environment variable `MAX_TORCH` to your installed version when
installing torch nightly.
Steps:
- Install `sparseml[clip]`. This will ensure open_clip_torch is installed
- Uninstall torch by running:
```
pip uninstall torch
```
- Install torch nightly:
```
pip install --pre torch --index-url https://download.pytorch.org/whl/nightly/
```
- Set your environment variable to the correct torch version: Example: `export MAX_TORCH="2.1.0.dev20230613+cpu"`