Instructions to use ilyusha07/gemma-linux-command-docs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use ilyusha07/gemma-linux-command-docs with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://ilyusha07/gemma-linux-command-docs") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 64d7da69edf6d7985a732a4e798ff23040538ca96ccc86bb350e2e0ac9d3e5a4
- Size of remote file:
- 10.5 GB
- SHA256:
- fa9139d30d585c2b82a596a54b3426b813237f09f8ff6541268c2e7ed62a0c59
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