Instructions to use google/codegemma-7b-keras with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- KerasHub
How to use google/codegemma-7b-keras with KerasHub:
import keras_hub # Create a Backbone model unspecialized for any task backbone = keras_hub.models.Backbone.from_preset("hf://google/codegemma-7b-keras") - Keras
How to use google/codegemma-7b-keras with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://google/codegemma-7b-keras") - Notebooks
- Google Colab
- Kaggle
metadata
library_name: keras-hub
license: gemma
license_link: https://ai.google.dev/gemma/terms
pipeline_tag: text-generation
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To access CodeGemma on Hugging Face, you’re required to review and agree to
Google’s usage license. To do this, please ensure you’re logged-in to Hugging
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CodeGemma
Google Model Page: CodeGemma
This model card corresponds to the 7B base version of the Code Gemma model for usage in keras.
Keras models can be used with JAX, PyTorch or TensorFlow as numerical backends. JAX, with its support for SPMD model paralellism, is recommended for large models. For more information: distributed training with Keras and JAX.
You can find other models in the CodeGemma family here:
| Base | Instruct | |
|---|---|---|
| 2B | codegemma-1.1-2b-keras | |
| 7B | codegemma-7b-keras | codegemma-1.1-7b-it-keras |
For more information about the model, visit https://huggingface.co/google/codegemma-7b.
Resources and Technical Documentation : Technical Report : Responsible Generative AI Toolkit
Terms of Use : Terms
Authors : Google
Loading the model
import keras_nlp
gemma_lm = keras_nlp.models.GemmaCausalLM.from_preset("hf://google/codegemma-7b-keras")