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--- |
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title: SAM3 |
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emoji: 📚 |
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colorFrom: blue |
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colorTo: yellow |
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sdk: gradio |
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sdk_version: 5.32.0 |
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app_file: app.py |
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pinned: false |
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short_description: SAM3 Video Inference on ZeroGPU |
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--- |
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# SAM3 HuggingFace Space Demo |
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with inspiration from [prithivMLmods' demo](https://huggingface.co/spaces/prithivMLmods/SAM3-Demo), using the [transformers API](https://huggingface.co/docs/transformers/main/en/model_doc/sam3_video) |
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# Requirements |
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using `git+https://github.com/huggingface/transformers.git` for now since it's not yet available on the latest release of transformers (v4.57.3 at the time of writing) |
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# The HuggingFace Space Template |
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setup with [github action to update automatically update your space](https://huggingface.co/docs/hub/spaces-github-actions) |
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and manage dependencies with `uv` |
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You will need to update [`deploy_to_hf_space.yaml`](.github/workflows/deploy_to_hf_space.yaml) with the details for your space and |
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setup your `HF_TOKEN` and `FORCE_PUSH` in your [Github secret](https://docs.github.com/en/actions/security-guides/encrypted-secrets#creating-encrypted-secrets-for-an-environment) |
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> [!WARNING] |
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> The Githuh Action *Force* push changes to HuggingFace Space |
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> This is due to the creation of the requirements.txt that happens on the fly. |
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> This template assumes that you are the sole contributor to your space. |
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## Resources |
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* [Gradio Course](https://huggingface.co/learn/llm-course/chapter9/2?fw=pt) |
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* [Gradio Doc](https://www.gradio.app/guides/quickstart) |
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* Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference |
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