Instructions to use zjs81/Electric-Car-Brand-Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zjs81/Electric-Car-Brand-Classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="zjs81/Electric-Car-Brand-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("zjs81/Electric-Car-Brand-Classifier") model = AutoModelForImageClassification.from_pretrained("zjs81/Electric-Car-Brand-Classifier") - Notebooks
- Google Colab
- Kaggle
Electric-Car-Brand-Classifier
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 Electric Car
Chevrolet Electric Car
Hyundai Electric Car
Tesla Electric Car
Toyota Electric Car
- Downloads last month
- 22
Model tree for zjs81/Electric-Car-Brand-Classifier
Evaluation results
- Accuracyself-reported0.808




