Instructions to use sofiane-isi/vit-beans-sofiane with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sofiane-isi/vit-beans-sofiane with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="sofiane-isi/vit-beans-sofiane") 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("sofiane-isi/vit-beans-sofiane") model = AutoModelForImageClassification.from_pretrained("sofiane-isi/vit-beans-sofiane", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from sofiane-isi/vit-beans-sofiane: direct link, hf CLI and curl.
- Browser
- Download file 709 Bytes
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https://huggingface.co/sofiane-isi/vit-beans-sofiane/resolve/main/README.md
- Command line
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hf download hf://sofiane-isi/vit-beans-sofiane/README.md
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curl -L -o README.md https://huggingface.co/sofiane-isi/vit-beans-sofiane/resolve/main/README.md
709 Bytes
| library_name: transformers | |
| pipeline_tag: image-classification | |
| tags: | |
| - image-classification | |
| - vit | |
| - beans | |
| datasets: | |
| - AI-Lab-Makerere/beans | |
| # ViT Beans Classifier | |
| Vision Transformer fine-tuned for bean leaf disease classification. | |
| ## Repository | |
| `sofiane-isi/vit-beans-sofiane` | |
| ## Dataset | |
| `AI-Lab-Makerere/beans` | |
| Classes: | |
| - angular_leaf_spot | |
| - bean_rust | |
| - healthy | |
| ## Evaluation | |
| - Accuracy: 0.96875 | |
| - Evaluation loss: 0.12236211448907852 | |
| ## Base model | |
| `google/vit-base-patch16-224-in21k` | |
| ## MLOps workflow | |
| Dataset β preprocessing β fine-tuning β evaluation β Hugging Face Hub β Model Card β Space. | |
| ## Limitations | |
| Educational model fine-tuned specifically on the Beans dataset. | |