README.md

metadata

tags:
  - image-classification
  - tensorflow
pipeline_tag: image-classification
widget:
  - src: https://huggingface.co/username/model_repo/resolve/main/sample_image.jpg
    example_title: Sample Image Classification
    output:
      - label: apple
        score: 0.95

Model Name

This model classifies images of various vegetables and fruits.

Model Description

This model was trained using TensorFlow to classify images into categories such as apple, banana, beetroot, etc.

How to Use

You can use this model in your code like this:

from transformers import pipeline
classifier = pipeline("image-classification", model="Veggies_model")

image = "path_to_your_image.jpg"
result = classifier(image)
print(result)