Instructions to use misterawpb/car_brands with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use misterawpb/car_brands with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="misterawpb/car_brands") 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("misterawpb/car_brands") model = AutoModelForImageClassification.from_pretrained("misterawpb/car_brands") - Notebooks
- Google Colab
- Kaggle
car_brands
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
BMW
Ford
Honda
Hyundai
Mercedes Benz
Nissan
Toyota
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Evaluation results
- Accuracyself-reported0.558






