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:
- 49c60c4bf4563e143d2e9e9d3f41a4d41016d97683bfd69530641ccd92fa6acd
- Size of remote file:
- 3.95 kB
- SHA256:
- 03107bd2b1ef26d37dc21505325abf49c31cc254399a76f12741bdac8ba5f1c0
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