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immanuelpeter
/
MiMoViT-2.6-Pro

Image Feature Extraction
Transformers
Safetensors
mimo26_vision
feature-extraction
vision
mimo
custom_code
Model card Files Files and versions
xet
Community

Instructions to use immanuelpeter/MiMoViT-2.6-Pro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use immanuelpeter/MiMoViT-2.6-Pro with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-feature-extraction", model="immanuelpeter/MiMoViT-2.6-Pro", trust_remote_code=True)
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("immanuelpeter/MiMoViT-2.6-Pro", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
MiMoViT-2.6-Pro
1.48 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
immanuelpeter's picture
immanuelpeter
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  • examples
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  • .gitattributes
    1.52 kB
    initial commit 2 days ago
  • LICENSE
    1.08 kB
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  • LICENSE-CODE
    11.4 kB
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  • NOTICE
    557 Bytes
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  • README.md
    2.48 kB
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  • config.json
    1.03 kB
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  • export_manifest.json
    37 kB
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  • model.safetensors
    1.48 GB
    xet
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  • modeling_mimo_vision.py
    17 kB
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  • preprocessor_config.json
    320 Bytes
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