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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d8af1c48195eb4964e193d7d2f2a2c7ba43ea61756d91ad921b71238f3cf8153
- Size of remote file:
- 5.3 kB
- SHA256:
- 167d1ac48636feaf88b05554f05a3d6348ac59b24df87be1d59d81eed83e94a4
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