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")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("OverDriveLee/Breast_Cancer") model = AutoModelForImageClassification.from_pretrained("OverDriveLee/Breast_Cancer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tf_model.h5 from OverDriveLee/Breast_Cancer: direct link, hf CLI and curl.
- Browser
- Download file 3.74 MB
-
https://huggingface.co/OverDriveLee/Breast_Cancer/resolve/main/tf_model.h5
- Command line
-
hf download hf://OverDriveLee/Breast_Cancer/tf_model.h5
-
curl -L -o tf_model.h5 https://huggingface.co/OverDriveLee/Breast_Cancer/resolve/main/tf_model.h5
3.74 MB
- Xet hash:
- a046417d723040c466b9deaeef8abbc7fbc857b6c6a7deeaa34c646f1cd12703
- Size of remote file:
- 3.74 MB
- SHA256:
- 80550c61bedd4dee0c2cf2077cf5fb375d3181d318ae5ca7db293ff5ef70cab5
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