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:
- 7e1a56e39a75a8d1727bd884fe50a2683f2ec531064e01773975e56eadf4da3a
- Size of remote file:
- 687 MB
- SHA256:
- daa8e051e1bf85670b67e903036b914fda2f1ba53794171170da0348949b56ef
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