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:
- da92698a10e79b81adc95ce3b141a1fb71fe54b54ac5c112f1561b18f0851c62
- Size of remote file:
- 343 MB
- SHA256:
- dee2f98b834c782d7c8c4c4b5f5c1373eac520fbeed33d3571e251f26278a135
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