Instructions to use PebriA/trashgu-classification-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use PebriA/trashgu-classification-model with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://PebriA/trashgu-classification-model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c59b9ea0d4504f9981fa981d86704d9d3af766d50e162839effb5abde5a8f91d
- Size of remote file:
- 13.1 MB
- SHA256:
- c6926a8582eb5892b36500be47b3d66b9d59d7149acf224d5df59a0840cd77d8
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