Instructions to use jongho-coder/vit-base-beans-demo-v5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jongho-coder/vit-base-beans-demo-v5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="jongho-coder/vit-base-beans-demo-v5") 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("jongho-coder/vit-base-beans-demo-v5") model = AutoModelForImageClassification.from_pretrained("jongho-coder/vit-base-beans-demo-v5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 04837f957f6bf15925590e24eb256bb92c86bb30430ea7a3013cb2e6939f4222
- Size of remote file:
- 5.11 kB
- SHA256:
- d856356d1a4d0f9e624184307d4863ad98f40a4ff565fe87cce16056b9c3dabc
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