Instructions to use youngp5/Brain-Tumor-Detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use youngp5/Brain-Tumor-Detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="youngp5/Brain-Tumor-Detector") 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("youngp5/Brain-Tumor-Detector") model = AutoModelForImageClassification.from_pretrained("youngp5/Brain-Tumor-Detector") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e0b25ec57b140a320ffddb2d5d077eda9a314d0454718d557c91246e3c3ab077
- Size of remote file:
- 687 MB
- SHA256:
- 97622a42fad17fda9f4e3e2968936f5d8154521765d06218209a3f8d57bf84f3
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