Instructions to use osmanh/vit-base-patch16-finetuned-beans with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use osmanh/vit-base-patch16-finetuned-beans with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="osmanh/vit-base-patch16-finetuned-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("osmanh/vit-base-patch16-finetuned-beans") model = AutoModelForImageClassification.from_pretrained("osmanh/vit-base-patch16-finetuned-beans") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2eb79929e1fb41e4bf902074e7e3e44472e17711ad64c534b3ccc9bcb56c3aee
- Size of remote file:
- 5.3 kB
- SHA256:
- 4fb4c50e5c6f06a7d044492cd6102fb7a117826ea0725596adfa7d3f63f7186d
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