Instructions to use pimcore/car-countries-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pimcore/car-countries-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="pimcore/car-countries-classification") 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("pimcore/car-countries-classification") model = AutoModelForImageClassification.from_pretrained("pimcore/car-countries-classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2448f071dda545dbdf88c311ffffb9fefd9290dc319544f96fef7156ef124f97
- Size of remote file:
- 5.24 kB
- SHA256:
- 7049c0a5d41a1081e0cde9342e77784c067357074161d7c5937bd4f79b85ab8d
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