Instructions to use Alecloud123/sam2-hiera-base-plus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Alecloud123/sam2-hiera-base-plus with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("mask-generation", model="Alecloud123/sam2-hiera-base-plus")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("Alecloud123/sam2-hiera-base-plus") model = AutoModel.from_pretrained("Alecloud123/sam2-hiera-base-plus") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1ab4ae09f37533681a57135d5b2b471c71a2ca701757af02317cde4b53441a6e
- Size of remote file:
- 323 MB
- SHA256:
- d0bb7f236400a49669ffdd1be617959a8b1d1065081789d7bbff88eded3a8071
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