Instructions to use prithivMLmods/BrainTumor-Classification-Mini with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prithivMLmods/BrainTumor-Classification-Mini with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="prithivMLmods/BrainTumor-Classification-Mini") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoProcessor, AutoModelForImageClassification processor = AutoProcessor.from_pretrained("prithivMLmods/BrainTumor-Classification-Mini") model = AutoModelForImageClassification.from_pretrained("prithivMLmods/BrainTumor-Classification-Mini") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 91721374fb3cd6d086292a41f79bb64c3a92a384dda2ac6a56aabd6233766d24
- Size of remote file:
- 372 MB
- SHA256:
- 2715062cb9a38068d4eec629b1177199d354a341ae27b1231c8075857a6ad366
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