Instructions to use facebook/sam2-hiera-base-plus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/sam2-hiera-base-plus with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("mask-generation", model="facebook/sam2-hiera-base-plus")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("facebook/sam2-hiera-base-plus") model = AutoModel.from_pretrained("facebook/sam2-hiera-base-plus", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Add Transformers weights (#2)
Verified signature- Add model weights + update model card (e9cdfd38de94b746a0d10b894bde618d8e1ae255) Co-authored-by: Yoni Gozlan <yonigozlan@users.noreply.huggingface.co>98efa66
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Update model card (#1)
Verified signature- Update model card (2869890888ba16bccc505194b4d5353caf4fd62b) Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>9bcec0e
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