Instructions to use shivkumarganesh/vision-transformer-fmri-classification-ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shivkumarganesh/vision-transformer-fmri-classification-ft with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="shivkumarganesh/vision-transformer-fmri-classification-ft") 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("shivkumarganesh/vision-transformer-fmri-classification-ft") model = AutoModelForImageClassification.from_pretrained("shivkumarganesh/vision-transformer-fmri-classification-ft") - Notebooks
- Google Colab
- Kaggle
vision-transformer-fmri-classification-ft
Autogenerated by HuggingPics🤗🖼️
Create your own image classifier for anything by running the demo on Google Colab.
Report any issues with the demo at the github repo.
Example Images
- Downloads last month
- 10
Evaluation results
- Accuracyself-reported0.796