Instructions to use steven123/Check_Aligned_Teeth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use steven123/Check_Aligned_Teeth with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="steven123/Check_Aligned_Teeth") 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("steven123/Check_Aligned_Teeth") model = AutoModelForImageClassification.from_pretrained("steven123/Check_Aligned_Teeth", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download images/Aligned_Teeth.jpg from steven123/Check_Aligned_Teeth: direct link, hf CLI and curl.
- Browser
- Download file 30.2 kB
-
https://huggingface.co/steven123/Check_Aligned_Teeth/resolve/main/images/Aligned_Teeth.jpg
- Command line
-
hf download hf://steven123/Check_Aligned_Teeth/images/Aligned_Teeth.jpg
-
curl -L -o Aligned_Teeth.jpg https://huggingface.co/steven123/Check_Aligned_Teeth/resolve/main/images/Aligned_Teeth.jpg
30.2 kB

- Xet hash:
- 3e3ec70394c231936ddefbe8bb76c4ced9b244565b703545af708b79cc40ee7d
- Size of remote file:
- 30.2 kB
- SHA256:
- 78848beb8dfb795fe9c4d3dc66a9606e2f84226bf2b6a019f1bc89219a62e8b5
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.