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h2thez3
/
sam_busi

Mask Generation
Transformers
PyTorch
sam
Model card Files Files and versions
xet
Community
1

Instructions to use h2thez3/sam_busi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use h2thez3/sam_busi with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("mask-generation", model="h2thez3/sam_busi")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForMaskGeneration
    
    processor = AutoProcessor.from_pretrained("h2thez3/sam_busi")
    model = AutoModelForMaskGeneration.from_pretrained("h2thez3/sam_busi")
  • Notebooks
  • Google Colab
  • Kaggle
sam_busi
750 MB
Ctrl+K
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  • 1 contributor
History: 3 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
d2b0b24 verified over 1 year ago
  • .gitattributes
    1.48 kB
    initial commit almost 3 years ago
  • README.md
    30 Bytes
    initial commit almost 3 years ago
  • config.json
    6.6 kB
    Upload 2 files almost 3 years ago
  • model.safetensors
    375 MB
    xet
    Adding `safetensors` variant of this model over 1 year ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    375 MB
    xet
    Upload 2 files almost 3 years ago