Instructions to use facebook/sam2-hiera-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/sam2-hiera-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("mask-generation", model="facebook/sam2-hiera-large")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("facebook/sam2-hiera-large") model = AutoModel.from_pretrained("facebook/sam2-hiera-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Add Transformers weights (#3)
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