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nvidia
/
mit-b4

Image Classification
Transformers
PyTorch
google-tensorflow TensorFlow
segformer
vision
Model card Files Files and versions
xet
Community
3

Instructions to use nvidia/mit-b4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use nvidia/mit-b4 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="nvidia/mit-b4")
    pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
    # Load model directly
    from transformers import AutoImageProcessor, AutoModelForImageClassification
    
    processor = AutoImageProcessor.from_pretrained("nvidia/mit-b4")
    model = AutoModelForImageClassification.from_pretrained("nvidia/mit-b4")
  • Notebooks
  • Google Colab
  • Kaggle
mit-b4 / onnx
Ctrl+K
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  • 2 contributors
History: 1 commit
mrm8848's picture
mrm8848
Adding ONNX file of this model
5baa664 verified about 1 year ago
  • config.json
    70.3 kB
    Adding ONNX file of this model about 1 year ago
  • model.onnx
    247 MB
    xet
    Adding ONNX file of this model about 1 year ago