Instructions to use 1038lab/sam3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 1038lab/sam3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("mask-generation", model="1038lab/sam3")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("1038lab/sam3", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Upload sam3.safetensors
Browse files- sam3.safetensors +3 -0
sam3.safetensors
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version https://git-lfs.github.com/spec/v1
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