Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Hardware
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

kashol
/
medsiglip-modality-ft-v3

Zero-Shot Image Classification
Transformers
Safetensors
siglip
medical
radiology
vision-language
image-classification
zero-shot
out-of-distribution-detection
Model card Files Files and versions
xet
Community

Instructions to use kashol/medsiglip-modality-ft-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use kashol/medsiglip-modality-ft-v3 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("zero-shot-image-classification", model="kashol/medsiglip-modality-ft-v3")
    pipe(
        "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png",
        candidate_labels=["animals", "humans", "landscape"],
    )
    # Load model directly
    from transformers import AutoProcessor, AutoModelForZeroShotImageClassification
    
    processor = AutoProcessor.from_pretrained("kashol/medsiglip-modality-ft-v3")
    model = AutoModelForZeroShotImageClassification.from_pretrained("kashol/medsiglip-modality-ft-v3", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
medsiglip-modality-ft-v3
3.51 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 11 commits
kashol's picture
kashol
Add binary radiology gate
f680128 verified 3 months ago
  • .gitattributes
    1.52 kB
    initial commit 3 months ago
  • README.md
    11.7 kB
    Update README.md 3 months ago
  • config.json
    998 Bytes
    Fine-tuned with non-radiology regularization (17 classes, 15 epochs) 3 months ago
  • model.safetensors
    3.51 GB
    xet
    Fine-tuned with non-radiology regularization (17 classes, 15 epochs) 3 months ago
  • processor_config.json
    457 Bytes
    Upload processor 3 months ago
  • radiology-gate.json
    32.7 kB
    Add binary radiology gate 3 months ago
  • spiece.model
    798 kB
    xet
    Upload processor 3 months ago
  • tokenizer_config.json
    786 Bytes
    Upload processor 3 months ago