Instructions to use OttoYu/Tree-ConditionHK with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OttoYu/Tree-ConditionHK with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="OttoYu/Tree-ConditionHK")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("OttoYu/Tree-ConditionHK") model = AutoModelForImageClassification.from_pretrained("OttoYu/Tree-ConditionHK") - Notebooks
- Google Colab
- Kaggle
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README.md
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@@ -27,7 +27,7 @@ This online application covers 22 most typical tree disease over 290+ images. If
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- **Developed by:** Yu Kai Him Otto
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- **Shared via:** Huggingface.co
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- **Model type:**
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## Uses
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You can use the this model for tree condition image classification.
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- **Developed by:** Yu Kai Him Otto
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- **Shared via:** Huggingface.co
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- **Model type:** Opensource
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## Uses
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You can use the this model for tree condition image classification.
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