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1038lab
/
sam3

Mask Generation
Transformers
English
sam3
Model card Files Files and versions
xet
Community
4

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", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
sam3
8.65 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
1038lab's picture
1038lab
Upload sam3.safetensors
ea8e153 verified 14 days ago
  • .gitattributes
    1.52 kB
    initial commit 10 months ago
  • README.md
    3.45 kB
    Create README.md 10 months ago
  • sam3.1_multiplex_fp16.safetensors
    1.75 GB
    xet
    Upload sam3.1_multiplex_fp16.safetensors 14 days ago
  • sam3.pt

    Detected Pickle imports (4)

    • "torch.FloatStorage",
    • "torch._utils._rebuild_tensor_v2",
    • "torch.ComplexFloatStorage",
    • "collections.OrderedDict"

    What is a pickle import?

    3.45 GB
    xet
    Upload sam3.pt 10 months ago
  • sam3.safetensors
    3.45 GB
    xet
    Upload sam3.safetensors 14 days ago