Instructions to use LeninKh/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use LeninKh/test with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://LeninKh/test") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2621c10b9053b03be481222705912ff8829de9638098fdbb9dc0e463f7bb1034
- Size of remote file:
- 9.62 MB
- SHA256:
- b1207ed91a55914d8bdb5a99ee3b9f3fbf96ef6d17d963cca73afe4192f283bd
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