Instructions to use CollectionStudio/sam2-hiera-base-plus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CollectionStudio/sam2-hiera-base-plus with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("mask-generation", model="CollectionStudio/sam2-hiera-base-plus")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("CollectionStudio/sam2-hiera-base-plus") model = AutoModel.from_pretrained("CollectionStudio/sam2-hiera-base-plus") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5436ec8b0505d2fcd48aec48c1439346683d27431f6cd3bf23156c33b52523a9
- Size of remote file:
- 323 MB
- SHA256:
- cce38e86bf9fb50a6c7a454776d280b992ea16f763ed0db3f9db9fde4655b3f1
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