Instructions to use Ritz-ai/reciclaje-efficientnetb0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Ritz-ai/reciclaje-efficientnetb0 with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://Ritz-ai/reciclaje-efficientnetb0") - Notebooks
- Google Colab
- Kaggle
2025-10-19 19:39:55Z - upload final_efficientnet.keras
Browse files- final_efficientnet.keras +1 -1
final_efficientnet.keras
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