Instructions to use CollectionStudio/sam2.1-hiera-base-plus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CollectionStudio/sam2.1-hiera-base-plus with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("mask-generation", model="CollectionStudio/sam2.1-hiera-base-plus")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("CollectionStudio/sam2.1-hiera-base-plus") model = AutoModel.from_pretrained("CollectionStudio/sam2.1-hiera-base-plus") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 15648d0cd6a0b596fdba2c93f58ea876e5ab2465406f1946b305ea54a436185d
- Size of remote file:
- 324 MB
- SHA256:
- a2345aede8715ab1d5d31b4a509fb160c5a4af1970f199d9054ccfb746c004c5
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