Image Classification
Transformers
Safetensors
vit
vision
brain-tumor
medical
transfer-learning
Generated from Trainer
Eval Results (legacy)
Instructions to use Tharsana/vit-brain-tumor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tharsana/vit-brain-tumor with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Tharsana/vit-brain-tumor") 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("Tharsana/vit-brain-tumor") model = AutoModelForImageClassification.from_pretrained("Tharsana/vit-brain-tumor", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K