Image Classification
timm
PyTorch
chest-x-ray
medical-imaging
binary-classification
chest-drain
confounder-detection
Instructions to use sindri101/chest-drain-predictor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use sindri101/chest-drain-predictor with timm:
import timm model = timm.create_model("hf-hub:sindri101/chest-drain-predictor", pretrained=True) - Notebooks
- Google Colab
- Kaggle
Download __pycache__/model.cpython-310.pyc from sindri101/chest-drain-predictor: direct link, hf CLI and curl.
- Browser
- Download file 4.85 kB
-
https://huggingface.co/sindri101/chest-drain-predictor/resolve/main/__pycache__/model.cpython-310.pyc
- Command line
-
hf download hf://sindri101/chest-drain-predictor/__pycache__/model.cpython-310.pyc
-
curl -L -o model.cpython-310.pyc https://huggingface.co/sindri101/chest-drain-predictor/resolve/main/__pycache__/model.cpython-310.pyc
4.85 kB
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