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nvidia
/
MambaVision-T-1K

Image Classification
Transformers
Safetensors
mambavision
image-feature-extraction
custom_code
Model card Files Files and versions
xet
Community
2

Instructions to use nvidia/MambaVision-T-1K with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use nvidia/MambaVision-T-1K with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="nvidia/MambaVision-T-1K", 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("nvidia/MambaVision-T-1K", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
MambaVision-T-1K
509 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 73 commits
ahatamiz's picture
ahatamiz
nielsr's picture
nielsr HF Staff
Improve model card: Add library_name, pipeline tag, tags, and HF paper link (#2)
b1de77e verified about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • LICENSE
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  • README.md
    5 kB
    Improve model card: Add library_name, pipeline tag, tags, and HF paper link (#2) about 1 year ago
  • config.json
    36.4 kB
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  • configuration_mambavision.py
    625 Bytes
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  • mambavision_tiny_1k.pth.tar
    382 MB
    xet
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  • model.safetensors
    127 MB
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  • modeling_mambavision.py
    27.9 kB
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