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Justin331
/
sam3

Mask Generation
Transformers
Safetensors
English
sam3_video
feature-extraction
sam3
Model card Files Files and versions
xet
Community

Instructions to use Justin331/sam3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Justin331/sam3 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("mask-generation", model="Justin331/sam3")
    # Load model directly
    from transformers import AutoProcessor, AutoModel
    
    processor = AutoProcessor.from_pretrained("Justin331/sam3")
    model = AutoModel.from_pretrained("Justin331/sam3", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
sam3
6.9 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 19 commits
Justin331's picture
Justin331
Upload handler.py with huggingface_hub
d920677 verified 9 months ago
  • assets
    Rename bpe_simple_vocab_16e6.txt.gz to assets/bpe_simple_vocab_16e6.txt.gz 9 months ago
  • sam3
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  • .gitattributes
    303 Bytes
    Rename bpe_simple_vocab_16e6.txt.gz to assets/bpe_simple_vocab_16e6.txt.gz 9 months ago
  • LICENSE
    7.41 kB
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  • README.md
    26.8 kB
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  • config.json
    26.7 kB
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  • handler.py
    33.9 kB
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  • merges.txt
    574 kB
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  • model.safetensors
    3.44 GB
    xet
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  • processor_config.json
    1.79 kB
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  • requirements.txt
    258 Bytes
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  • sam3.pt
    3.45 GB
    xet
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  • setup.py
    191 Bytes
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  • special_tokens_map.json
    618 Bytes
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  • tokenizer.json
    3.89 MB
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  • tokenizer_config.json
    832 Bytes
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  • vocab.json
    862 kB
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