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:
- 84393fa8d0b1f9e054ac64fa4aa3580016270d7fedb2dd5786d9fa4a97a85cf6
- Size of remote file:
- 323 MB
- SHA256:
- 2012733a0de5d03efd1bba550a2847c4551be9ef2e0d497c83074df66189f780
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