How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("image-classification", model="steven123/Check_Gum_Teeth")
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/Check_Gum_Teeth")
model = AutoModelForImageClassification.from_pretrained("steven123/Check_Gum_Teeth")
Quick Links

Check_Gum_Teeth

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

Bad_Gum

Bad_Gum

Good_Gum

Good_Gum

Downloads last month
10
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Evaluation results