Image Classification
Keras
LiteRT
English
computer-vision
waste-management
mobilenetv2
sustainability
Instructions to use tahzaya/trash-sorter-ai with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use tahzaya/trash-sorter-ai with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://tahzaya/trash-sorter-ai") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9aed3356236596e223ece42c3c65491679c6eaaeeb8b8d32eabb37d2e78aa758
- Size of remote file:
- 9.62 MB
- SHA256:
- 59438dad9e8437c4f9e4bce3e7aa558915cd545e06c87c0f1d123dbfc8ddb3ee
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