Image Classification
Transformers
TensorBoard
Safetensors
vit_msn
Generated from Trainer
Eval Results (legacy)
Instructions to use rhlc/vit-msn-small-finetuned-alzheimers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rhlc/vit-msn-small-finetuned-alzheimers with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="rhlc/vit-msn-small-finetuned-alzheimers") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("rhlc/vit-msn-small-finetuned-alzheimers") model = AutoModelForImageClassification.from_pretrained("rhlc/vit-msn-small-finetuned-alzheimers", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K