Instructions to use google/codegemma-7b-it-keras with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- KerasHub
How to use google/codegemma-7b-it-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-it-keras") - Keras
How to use google/codegemma-7b-it-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-it-keras") - Notebooks
- Google Colab
- Kaggle
| library_name: keras-hub | |
| license: gemma | |
| license_link: https://ai.google.dev/gemma/terms | |
| pipeline_tag: text-generation | |
| 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 | |
| # CodeGemma | |
| **❗️There is a newer version of this model here: [huggingface.co/google/codegemma-1.17b-it-keras](https://huggingface.co/google/codegemma-1.17b-it-keras)** | |
| This model card corresponds to the 7B instruct version of the Code Gemma model for usage in keras. | |
| For more information about the model, visit https://huggingface.co/google/codegemma-7b-it. | |
| Model Page | |
| : [CodeGemma](https://ai.google.dev/gemma/docs/codegemma) | |
| Resources and Technical Documentation | |
| : [Technical Report](https://goo.gle/codegemma) | |
| : [Responsible Generative AI Toolkit](https://ai.google.dev/responsible) | |
| Terms of Use | |
| : [Terms](https://www.kaggle.com/models/google/codegemma/license/consent/verify/huggingface?returnModelRepoId=google/codegemma-7b-it-keras) | |
| Authors | |
| ## Loading the model | |
| ```python | |
| import keras_nlp | |
| gemma_lm = keras_nlp.models.GemmaCausalLM.from_preset("hf://google/codegemma-7b-it-keras") | |
| ``` |