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:
- 119ac0b8420c79dcd38f6f2ada96458adc670dd83d926673aab996e0e1f58d8c
- Size of remote file:
- 8.87 MB
- SHA256:
- 5b99873442136efdca2a54774ab8c3c8416b6d0d02c640e4185a1d6b3bd9593c
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