Instructions to use mikerol/beta6-ViT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mikerol/beta6-ViT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="mikerol/beta6-ViT") 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("mikerol/beta6-ViT") model = AutoModelForImageClassification.from_pretrained("mikerol/beta6-ViT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b21ab68787e58e3bdc03d089568d62e7299cb7540020caf0c7d7178c45746ae3
- Size of remote file:
- 5.84 kB
- SHA256:
- 960773757d52eaecaa0cf2ff4ef35d7572cd1d4f9d117deb39c6a627d7953818
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