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hcltech-robotics
/
rev-ct

Image Classification
Transformers
Safetensors
English
decision-model
medical-imaging
chest-ct
multi-label-classification
calibration
Eval Results (legacy)
Model card Files Files and versions
xet
Community
1

Instructions to use hcltech-robotics/rev-ct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use hcltech-robotics/rev-ct with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="hcltech-robotics/rev-ct")
    pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("hcltech-robotics/rev-ct", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
rev-ct
592 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
chrisvoncsefalvay's picture
chrisvoncsefalvay
Use the canonical RevCT social card (#1)
706dbf5 about 20 hours ago
  • assets
    Initial commit about 23 hours ago
  • .gitattributes
    1.85 kB
    Initial commit about 23 hours ago
  • COLIPRI_LICENSE
    1.07 kB
    Initial commit about 23 hours ago
  • LICENSE
    11.4 kB
    Initial commit about 23 hours ago
  • NOTICE
    880 Bytes
    Initial commit about 23 hours ago
  • README.md
    18.3 kB
    Use the canonical RevCT social card (#1) about 20 hours ago
  • config.json
    6.71 kB
    Initial commit about 23 hours ago
  • model.safetensors
    589 MB
    xet
    Initial commit about 23 hours ago
  • processor_config.json
    405 Bytes
    Initial commit about 23 hours ago