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Aignostics
/
RudolfV-2

Image Feature Extraction
Transformers
Safetensors
rudolf
pathology
histopathology
computational-pathology
digital-pathology
vision-transformer
foundation-model
self-supervised
feature-extraction
biology
medical
custom_code
Model card Files Files and versions
xet
Community
1

Instructions to use Aignostics/RudolfV-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Aignostics/RudolfV-2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-feature-extraction", model="Aignostics/RudolfV-2", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Aignostics/RudolfV-2", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
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Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Model added to Hugging Science and featured on the banner

🚀 5
#1 opened about 23 hours ago by
EmmaScharfmann
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