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toolevalxm
/
MedVisionAI-Clinical

Image Classification
Transformers
PyTorch
vit
Model card Files Files and versions
xet
Community

Instructions to use toolevalxm/MedVisionAI-Clinical with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use toolevalxm/MedVisionAI-Clinical with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="toolevalxm/MedVisionAI-Clinical")
    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("toolevalxm/MedVisionAI-Clinical")
    model = AutoModelForImageClassification.from_pretrained("toolevalxm/MedVisionAI-Clinical")
  • Notebooks
  • Google Colab
  • Kaggle
MedVisionAI-Clinical
6.13 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
toolevalxm's picture
toolevalxm
Upload MedVisionAI Clinical model (best checkpoint: epoch_50)
47ffa8c verified 2 months ago
  • figures
    Upload MedVisionAI Clinical model (best checkpoint: epoch_50) 2 months ago
  • .gitattributes
    1.52 kB
    initial commit 3 months ago
  • README.md
    4.07 kB
    Upload MedVisionAI Clinical model (best checkpoint: epoch_50) 2 months ago
  • config.json
    210 Bytes
    Upload MedVisionAI Clinical model (best checkpoint: epoch_50) 2 months ago
  • pytorch_model.bin
    124 Bytes
    xet
    Upload MedVisionAI Clinical model (best checkpoint: epoch_50) 2 months ago