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Update README.md with a basic description of the model

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@@ -5,4 +5,12 @@ datasets:
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  metrics:
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  - accuracy
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  library_name: transformers
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- ---
 
 
 
 
 
 
 
 
 
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  metrics:
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  - accuracy
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  library_name: transformers
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+ ---
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+ # food classifier
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+
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+ This model is based on the "google/vit-base-patch16-224-in21k" image classifier model and fine tuned using the [food101 dataset](https://huggingface.co/datasets/food101),
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+ which has 101 different classes of food item
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+
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+ # Usage
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+ The model can be used with Pipeline() using the following syntax: `classifier = pipeline("image-classification", model="adam-bourne/food-classifier")`