--- library_name: keras-nlp extra_gated_heading: Access CodeGemma on Hugging Face extra_gated_prompt: >- 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 Face and click below. Requests are processed immediately. extra_gated_button_content: Acknowledge license license: gemma license_link: https://ai.google.dev/gemma/terms pipeline_tag: text-generation --- # CodeGemma **Google Model Page**: [CodeGemma](https://ai.google.dev/gemma/docs/codegemma) This model card corresponds to the latest 7B instruct version of the CodeGemma 1.1 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](https://keras.io/guides/distribution/). You can find other models in the CodeGemma family here: | | Base | Instruct | |----|----------------------------------------------------|----------------------------------------------------------------------| | 2B | [codegemma-1.1-2b-keras](https://huggingface.co/google/codegemma-1.1-2b-keras) | | | 7B | [codegemma-7b-keras](https://huggingface.co/google/codegemma-7b-keras) | [**codegemma-1.1-7b-it-keras**](https://huggingface.co/google/codegemma-1.1-7b-it-keras) | For more information about the model, visit https://huggingface.co/google/codegemma-2b. Resources and Technical Documentation : [Technical Report](https://goo.gle/codegemma) : [Responsible Generative AI Toolkit](https://ai.google.dev/responsible) Terms of Use : [Terms](https://ai.google.dev/gemma/terms) Authors : Google ## Loading the model ```python import keras_nlp gemma_lm = keras_nlp.models.GemmaCausalLM.from_preset("hf://google/codegemma-1.1-7b-it-keras") ```