Instructions to use SceneWorks/sam3-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use SceneWorks/sam3-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir sam3-mlx SceneWorks/sam3-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
Upload README.md with huggingface_hub
Browse files
README.md
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---
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license: other
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license_name: sam-license
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license_link: LICENSE
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tags:
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- segmentation
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- sam3
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- mlx
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- mirror
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---
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# SceneWorks/sam3-mlx
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A **redistribution mirror** of [`facebook/sam3`](https://huggingface.co/facebook/sam3)
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(Segment Anything 3) for download-on-first-use by the [SceneWorks](https://github.com/michaeltrefry) macOS worker.
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The native-MLX (Rust `mlx-gen-sam3`) SAM3 segmenter loads the **stock checkpoint directly** — no
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conversion — and drives text-concept Promptable Concept Segmentation ("person") for the
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Replace-Person person-track pipeline (epic 4910). This mirror exists only so the app can fetch the
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weights without the gated `facebook/sam3` access flow.
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## Files
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- `model.safetensors` — the SAM3 checkpoint (~0.9B params, F32), byte-identical to `facebook/sam3`.
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- `tokenizer.json` — the CLIP-H text tokenizer used for the concept prompt.
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- `LICENSE` — the Meta **SAM License** (included as required by the license; it governs use of the Materials).
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## License
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These weights are © Meta and distributed under the **SAM License** (see `LICENSE`). This mirror
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redistributes them unmodified under that license. Refer to the original
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[`facebook/sam3`](https://huggingface.co/facebook/sam3) model card for intended use, capabilities,
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and limitations.
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