Instructions to use dupthotshering/Car_Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dupthotshering/Car_Classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="dupthotshering/Car_Classifier") 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("dupthotshering/Car_Classifier") model = AutoModelForImageClassification.from_pretrained("dupthotshering/Car_Classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 85057b478f5737f451f31c0b04d8dcb36bae439af5826723ddd6466ebca1fd4e
- Size of remote file:
- 343 MB
- SHA256:
- b126e1033cf98ceef3d0be7f3343028081a7bae794715147a65a24e52bc24582
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