Instructions to use steven123/teeth_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use steven123/teeth_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="steven123/teeth_test") 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_test") model = AutoModelForImageClassification.from_pretrained("steven123/teeth_test") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e4d14bc5dd1d1adc4ac5a662aef1707233587c1a28a2ea9e998ee0d3f4166e88
- Size of remote file:
- 343 MB
- SHA256:
- ad5ef0bfb36e5da606372772362621a31eab2742695e7b80348672b0835c6ac5
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