Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

nvidia
/
MambaVision-L2-1K

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

Instructions to use nvidia/MambaVision-L2-1K with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use nvidia/MambaVision-L2-1K with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="nvidia/MambaVision-L2-1K", 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-L2-1K", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
MambaVision-L2-1K
3.87 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 15 commits
ahatamiz's picture
ahatamiz
nielsr's picture
nielsr HF Staff
Update pipeline tag, add Github link and library name (#1)
b666762 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
    5 kB
    Update pipeline tag, add Github link and 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
  • mamba_vision.py
    32.7 kB
    Create mamba_vision.py almost 2 years ago
  • mambavision_large2_1k.pth.tar
    2.9 GB
    xet
    Upload mambavision_large2_1k.pth.tar almost 2 years ago
  • model.safetensors
    966 MB
    xet
    Upload model almost 2 years ago
  • modeling_mambavision.py
    28.1 kB
    Upload model almost 2 years ago