Instructions to use D3nkik/My_task with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use D3nkik/My_task with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://D3nkik/My_task") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9712281c32d65448fa75a84ce20c046ab512e87117570406ab4968dfd5bea843
- Size of remote file:
- 1.25 MB
- SHA256:
- f38739993768e8db6d28cca63e9bd7a4725ac9cf30b9417b1cdddb09e212dd0d
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