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SE6446
/
VitMix-v1

Image Classification
Transformers
Safetensors
VitMix
Mixture of Experts
custom_code
Model card Files Files and versions
xet
Community

Instructions to use SE6446/VitMix-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use SE6446/VitMix-v1 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="SE6446/VitMix-v1", trust_remote_code=True)
    pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
    # Load model directly
    from transformers import AutoModelForImageClassification
    model = AutoModelForImageClassification.from_pretrained("SE6446/VitMix-v1", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
VitMix-v1
1.56 GB
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  • 1 contributor
History: 11 commits
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SE6446
Update README.md
3d17f8d verified over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • LICENSE
    462 Bytes
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  • README.md
    508 Bytes
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  • config.json
    432 Bytes
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  • configuration_vitmix.py
    869 Bytes
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  • model.safetensors
    1.56 GB
    xet
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  • modeling_vitmix.py
    7.22 kB
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