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raidium
/
Jolia

Feature Extraction
Transformers
Safetensors
jolia
image-feature-extraction
medical
radiology
ct
3d
vision
foundation-model
self-supervised
custom_code
Model card Files Files and versions
xet
Community

Instructions to use raidium/Jolia with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use raidium/Jolia with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="raidium/Jolia", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("raidium/Jolia", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Jolia / __pycache__
58.7 kB
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  • 2 contributors
History: 1 commit
SovanK's picture
SovanK
Upload folder using huggingface_hub
fc80bee verified 9 days ago
  • jolia_atlas_transform.cpython-312.pyc
    29.8 kB
    Upload folder using huggingface_hub 9 days ago
  • jolia_windowing.cpython-312.pyc
    24.4 kB
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  • preprocessing_jolia.cpython-312.pyc
    4.52 kB
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