Instructions to use juniorjukeko/swin-tiny-patch4-window7-224_ft_mango_leaf_disease with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use juniorjukeko/swin-tiny-patch4-window7-224_ft_mango_leaf_disease with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="juniorjukeko/swin-tiny-patch4-window7-224_ft_mango_leaf_disease") 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("juniorjukeko/swin-tiny-patch4-window7-224_ft_mango_leaf_disease") model = AutoModelForImageClassification.from_pretrained("juniorjukeko/swin-tiny-patch4-window7-224_ft_mango_leaf_disease", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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## Model description
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Multiclass image classification model based on [swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) and fine-tuned with Mango🥭 Leaf🍃🍂 Disease Dataset.
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Anthracnose, Bacterial Canker, Cutting Weevil, Die Back, Gall Midge, Powdery Mildew, Sooty Mould, Healthy
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## Intended uses & limitations
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## Model description
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Multiclass image classification model based on [swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) and fine-tuned with Mango🥭 Leaf🍃🍂 Disease Dataset.
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Model was trained on 8 classes based on mango leaves health :
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Anthracnose, Bacterial Canker, Cutting Weevil, Die Back, Gall Midge, Powdery Mildew, Sooty Mould, Healthy
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## Intended uses & limitations
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