Instructions to use kyvu/mushroom-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kyvu/mushroom-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="kyvu/mushroom-classification") 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("kyvu/mushroom-classification") model = AutoModelForImageClassification.from_pretrained("kyvu/mushroom-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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<h1>Mushroom classification</h1>
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<p>
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The model will predict the mushroom image if it belongs to below species.
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---
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language:
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- en
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metrics:
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- accuracy
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library_name: transformers
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pipeline_tag: image-classification
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tags:
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- biology
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---
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<h1>Mushroom classification</h1>
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<p>
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The model will predict the mushroom image if it belongs to below species.
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