Instructions to use fashxp/cars-countries with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fashxp/cars-countries with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="fashxp/cars-countries") 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("fashxp/cars-countries") model = AutoModelForImageClassification.from_pretrained("fashxp/cars-countries") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 39540e37a63c18eb840ae8cc665adfe6f84d73fb24f513cd678b1eb2c44e8a9a
- Size of remote file:
- 4.92 kB
- SHA256:
- 4bffd28c8a57b2820a76fcabae7f026624e1e4b1406c92a435e74b16aa7f3966
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