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
- Xet hash:
- b68216ea7024eeef628a0ffb8387d4b8b515b60fd31f52d9b431a0cd6418bf76
- Size of remote file:
- 98.8 MB
- SHA256:
- 50b39b452e9b5834644b054337ba7083d838452fc67160547ad132fdf3379f17
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