Instructions to use CollectionStudio/sam2.1-hiera-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CollectionStudio/sam2.1-hiera-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("mask-generation", model="CollectionStudio/sam2.1-hiera-large")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("CollectionStudio/sam2.1-hiera-large") model = AutoModel.from_pretrained("CollectionStudio/sam2.1-hiera-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2f04b959cb54a718eee67bd98b5cd20a795f1508cc597b5f96b2ed0144a8099d
- Size of remote file:
- 898 MB
- SHA256:
- 2647878d5dfa5098f2f8649825738a9345572bae2d4350a2468587ece47dd318
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