Instructions to use Getinside03/vit-base-beans with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Getinside03/vit-base-beans with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Getinside03/vit-base-beans") 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("Getinside03/vit-base-beans") model = AutoModelForImageClassification.from_pretrained("Getinside03/vit-base-beans", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 96b5c5d7bee25f8a55275ab378f92ae6e4165c95794f6f38a03ccd45ef9a2192
- Size of remote file:
- 343 MB
- SHA256:
- 6f333deefb6e9080ecb7fd4bb547fff4d33da577aa75e67bbff7a138e0225f52
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