Instructions to use codeby-hp/vit-brain-tumor-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use codeby-hp/vit-brain-tumor-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="codeby-hp/vit-brain-tumor-classifier") 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("codeby-hp/vit-brain-tumor-classifier") model = AutoModelForImageClassification.from_pretrained("codeby-hp/vit-brain-tumor-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7f82075c392e56afb2bc18dd73e54012166cf73efa162f64191a494fca5ea0e6
- Size of remote file:
- 343 MB
- SHA256:
- 512566946eeedaf183f33331e221fd23555dda59f5bf173e6a2130ff157ea198
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