Instructions to use OverDriveLee/Breast_Cancer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OverDriveLee/Breast_Cancer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="OverDriveLee/Breast_Cancer") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("OverDriveLee/Breast_Cancer") model = AutoModelForImageClassification.from_pretrained("OverDriveLee/Breast_Cancer") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): f1b3464
upload model
Browse files- tf_model.h5 +3 -0
tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:80550c61bedd4dee0c2cf2077cf5fb375d3181d318ae5ca7db293ff5ef70cab5
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size 3742400
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