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Duplicate from apple/coreml-sam2-large

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Co-authored-by: Christopher Fleetwood <FL33TW00D-HF@users.noreply.huggingface.co>

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+ ---
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+ license: apache-2.0
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+ pipeline_tag: mask-generation
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+ library_name: coreml
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+ ---
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+
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+ # SAM2 Large Core ML
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+
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+ SAM 2 (Segment Anything in Images and Videos), is a collection of foundation models from FAIR that aim to solve promptable visual segmentation in images and videos. See the [SAM 2 paper](https://arxiv.org/abs/2408.00714) for more information.
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+
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+ This is the Core ML version of [SAM 2 Large](https://huggingface.co/facebook/sam2-hiera-large), and is suitable for use with the [SAM2 Studio demo app](https://github.com/huggingface/sam2-studio). It was converted in `float16` precision using [this fork](https://github.com/huggingface/segment-anything-2/tree/coreml-conversion) of the original code repository.
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+
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+ ## Download
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+
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+ Install `huggingface-cli`
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+
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+ ```bash
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+ brew install huggingface-cli
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+ ```
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+
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+ ```bash
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+ huggingface-cli download --local-dir models coreml-projects/coreml-sam2-large
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+ ```
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+
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+ ## Citation
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+
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+ To cite the paper, model, or software, please use the below:
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+ ```
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+ @article{ravi2024sam2,
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+ title={SAM 2: Segment Anything in Images and Videos},
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+ author={Ravi, Nikhila and Gabeur, Valentin and Hu, Yuan-Ting and Hu, Ronghang and Ryali, Chaitanya and Ma, Tengyu and Khedr, Haitham and R{\"a}dle, Roman and Rolland, Chloe and Gustafson, Laura and Mintun, Eric and Pan, Junting and Alwala, Kalyan Vasudev and Carion, Nicolas and Wu, Chao-Yuan and Girshick, Ross and Doll{\'a}r, Piotr and Feichtenhofer, Christoph},
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+ journal={arXiv preprint arXiv:2408.00714},
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+ url={https://arxiv.org/abs/2408.00714},
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+ year={2024}
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+ }
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+ ```
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