Instructions to use Yoran-w/mlops-animals-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Yoran-w/mlops-animals-classification with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://Yoran-w/mlops-animals-classification") - Notebooks
- Google Colab
- Kaggle
| services: | |
| animal-api: | |
| build: . | |
| container_name: animal-api | |
| ports: | |
| - "8000:8000" # Expose FastAPI port | |
| volumes: | |
| - ./animal-classification:/app/animal-classification # Mount model folder | |
| environment: | |
| - MODEL_PATH=/app/animal-classification/INPUT_model_path/animal-cnn | |
| restart: unless-stopped |