Instructions to use hadoozy/howest-ai-animal-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use hadoozy/howest-ai-animal-classification with Keras:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://hadoozy/howest-ai-animal-classification") - Notebooks
- Google Colab
- Kaggle
HOWEST AI Model: animal-cnn
Trained Convolutional Neural Network (CNN) for 3-class animal image classification (Cats, Dogs, Pandas).
Model Overview
- Student: Hadi Hleihel
- Academic Year: 2026β2027
- Course: HOWEST Creative Technologies & AI β MLOps
- Azure ML Training Pipeline Run:
nice_rice_87lp22q4sm - Registered Model Version:
animal-cnn:1 - Framework: Keras 3.15.1 / TensorFlow 2.21.0
- Input Resolution: 64x64 RGB
- Classes:
cat(index 0),dog(index 1),panda(index 2)
Model Files
config.json: Keras model architecture and layer graphmetadata.json: Keras version serialization metadatamodel.weights.h5: Trained layer weightsmodel.keras: Complete standalone Keras 3 model zip archive
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