Instructions to use ArrayDice/car_orientation_classification_zoomed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ArrayDice/car_orientation_classification_zoomed with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="ArrayDice/car_orientation_classification_zoomed") 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("ArrayDice/car_orientation_classification_zoomed") model = AutoModelForImageClassification.from_pretrained("ArrayDice/car_orientation_classification_zoomed") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d22fe9461d96f00d8890060d1b8ff83e334729dfae2049ef20a20450c34a54ce
- Size of remote file:
- 5.18 kB
- SHA256:
- ea7426360cc957b53e635bc15496879ecb716feb0d0f6a6d0ede3bf540db3da2
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