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--- |
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tags: |
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- image-classification |
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- tensorflow |
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pipeline_tag: image-classification |
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widget: |
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- src: https://huggingface.co/username/model_repo/resolve/main/sample_image.jpg |
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example_title: "Sample Image Classification" |
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output: |
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- label: "apple" |
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score: 0.95 |
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--- |
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# Model Name |
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This model classifies images of various vegetables and fruits. |
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## Model Description |
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This model was trained using TensorFlow to classify images into categories such as `apple`, `banana`, `beetroot`, etc. |
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## How to Use |
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You can use this model in your code like this: |
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```python |
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from transformers import pipeline |
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classifier = pipeline("image-classification", model="Veggies_model") |
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image = "path_to_your_image.jpg" |
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result = classifier(image) |
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print(result) |
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