Instructions to use facebook/sam2-hiera-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/sam2-hiera-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("mask-generation", model="facebook/sam2-hiera-small")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("facebook/sam2-hiera-small") model = AutoModel.from_pretrained("facebook/sam2-hiera-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Add Transformers weights (#3)
Verified signature- Add Transformers weights + update model card (df8340b1da56bc0c7d2da51d910aed396df12d69) Co-authored-by: Yoni Gozlan <yonigozlan@users.noreply.huggingface.co>e080ada
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Update model card (#1)
Verified signature- Update model card (94664549505916ff3a7a51428fddc08bd79cb389) Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>1594c4a
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Update README.md
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Create sam2_hiera_s.yaml
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initial commit
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