Instructions to use durovali/vit-motorcycle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use durovali/vit-motorcycle with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="durovali/vit-motorcycle") 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("durovali/vit-motorcycle") model = AutoModelForImageClassification.from_pretrained("durovali/vit-motorcycle", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 61afd6f3859b90df9b6c2427f294846cb59650f02c56c66e2cb3aa3837f43440
- Size of remote file:
- 5.27 kB
- SHA256:
- 99a16422d91bd3c44b6c426800c04978c8dfbae602ba019f022933bba8072487
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