Animal10 Classifier

This model is trained to classify 10 different types of animals using ResNet18.

Model Details:

  • Architecture: ResNet18
  • Number of classes: 10
  • Input size: 224x224 RGB images

How to use:

You can use this model for inference via the Hugging Face Inference API.

from transformers import pipeline

# Load the image classification pipeline
classifier = pipeline("image-classification", model="Mhussnain/animal10-classifier")

# Classify an image
result = classifier("path_to_your_image.jpg")
print(result)
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