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nvidia
/
MambaVision-L-1K

Image Classification
Transformers
Safetensors
mambavision
custom_code
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

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

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="nvidia/MambaVision-L-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-L-1K", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
MambaVision-L-1K
3.65 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 21 commits
ahatamiz's picture
ahatamiz
nielsr's picture
nielsr HF Staff
Set pipeline tag to image-classification and add library name (#1)
63df00c verified about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • LICENSE
    4.15 kB
    Update LICENSE almost 2 years ago
  • README.md
    4.96 kB
    Set pipeline tag to image-classification and add library name (#1) about 1 year ago
  • config.json
    36.4 kB
    Update config.json almost 2 years ago
  • configuration_mambavision.py
    769 Bytes
    Upload model almost 2 years ago
  • mambavision_large_1k.pth.tar
    2.74 GB
    xet
    Upload mambavision_large_1k.pth.tar almost 2 years ago
  • model.safetensors
    912 MB
    xet
    Upload model almost 2 years ago
  • modeling_mambavision.py
    28.1 kB
    Update modeling_mambavision.py almost 2 years ago