Instructions to use diozhug/tensorflow-trash-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use diozhug/tensorflow-trash-classification with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://diozhug/tensorflow-trash-classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e91d6070e5fcd9491ac925e081b4da3584c4705732804e1566464984793713ff
- Size of remote file:
- 28.8 MB
- SHA256:
- f72df53355b5a23d2bac2ce7d318359a1cc2000af951338235e01d8bee2ad456
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