Lesson2FastAi / README.md
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metadata
language: en
tags:
  - image-classification
  - fastai
  - vision
datasets:
  - cats
license: mit
library_name: fastai

Cat Image Classifier

This model classifies whether an input image contains a cat or not. You can use the model through:

  1. The interface above - just upload an image and get predictions
  2. Programmatically using the code below

Programmatic Usage

from fastai.learner import load_learner
from huggingface_hub import hf_hub_download

# Download the model
model_path = hf_hub_download(repo_id="RamyKhorshed/Lesson2FastAi", filename="model.pkl")
model = load_learner(model_path)

# Make a prediction
img_path = "path/to/your/image.jpg"
pred, pred_idx, probs = model.predict(img_path)
print(f"Prediction: {pred}")
print(f"Confidence: {probs[pred_idx]:.4f}")