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coreml-sam2-tiny

Mask Generation

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pcuenq HF staff commited on Sep 11

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@@ -8,7 +8,7 @@ library_name: coreml
 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.
-This is the Core ML version of [SAM 2 Tiny](https://huggingface.co/facebook/sam2-hiera-tiny), and is suitable for use with the [Swift demo app](https://github.com/huggingface/sam2-swiftui). It was converted in `float16` precision using [this fork](https://github.com/FL33TW00D/segment-anything-2/tree/feature/SAM2) of the original code repository.
 ## Download

 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.
+This is the Core ML version of [SAM 2 Tiny](https://huggingface.co/facebook/sam2-hiera-tiny), and is suitable for use with the [SAM2 Studio demo app](https://github.com/huggingface/sam2-swiftui). It was converted in `float16` precision using [this fork](https://github.com/FL33TW00D/segment-anything-2/tree/feature/SAM2) of the original code repository.
 ## Download