Instructions to use Arunisto/brain_tumor_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Arunisto/brain_tumor_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Arunisto/brain_tumor_classification") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Arunisto/brain_tumor_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 27c01694b35bd8a961450b6d15510f0b71f9ca16e7ad702044bdda02f4c9721b
- Size of remote file:
- 110 MB
- SHA256:
- 665ab2284c117dd7351be7346ed82931788273738b6ca6c33a45eb65c76285b0
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