Instructions to use cosqnetwork/aquila_mamogram_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cosqnetwork/aquila_mamogram_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="cosqnetwork/aquila_mamogram_classifier") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("cosqnetwork/aquila_mamogram_classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Initial model commit
#1
by johanjanil - opened
- best_model.pth +3 -0
best_model.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:50b39b452e9b5834644b054337ba7083d838452fc67160547ad132fdf3379f17
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size 98815061
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