Instructions to use MiVaCod/xray-image-classification-final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastai
How to use MiVaCod/xray-image-classification-final with fastai:
from huggingface_hub import from_pretrained_fastai learn = from_pretrained_fastai("MiVaCod/xray-image-classification-final") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d62ee9cdd5df3e254812f372cbb48c5a6ca9d4e1ad74384576ca84b57d04640d
- Size of remote file:
- 87.5 MB
- SHA256:
- 62573c32f3f03c7734f9d893fdaa947556f6b5f7a94630d6aadaf14c20484431
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