Instructions to use BunkerMinecraft/NeuRecAI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use BunkerMinecraft/NeuRecAI with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://BunkerMinecraft/NeuRecAI") - Notebooks
- Google Colab
- Kaggle
Trained EfficientNet model saved in .keras/.h5 format.
Class names: battery, glass, metal, organic, paper, plastic
Input: 224×224 RGB image
Output: Class name and confidence of classifcation
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