Instructions to use steven123/Teeth_C with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use steven123/Teeth_C with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="steven123/Teeth_C") 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("steven123/Teeth_C") model = AutoModelForImageClassification.from_pretrained("steven123/Teeth_C") - Notebooks
- Google Colab
- Kaggle
Teeth_C
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
Good Teeth
Missing Teeth
Rotten Teeth
- Downloads last month
- 7
Evaluation results
- Accuracyself-reported0.500


