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--- |
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library_name: keras-hub |
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license: gemma |
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pipeline_tag: text-generation |
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extra_gated_heading: Access Gemma on Hugging Face |
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extra_gated_prompt: To access Gemma on Hugging Face, you’re required to review and |
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agree to Google’s usage license. To do this, please ensure you’re logged-in to Hugging |
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Face and click below. Requests are processed immediately. |
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extra_gated_button_content: Acknowledge license |
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--- |
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# Gemma 1 |
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**Google Model Page**: [Gemma](https://ai.google.dev/gemma/docs) |
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This model card corresponds to the latest 2B version of the Gemma model in Keras. |
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Keras models can be used with JAX, PyTorch or TensorFlow as numerical backends. |
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JAX, with its support for SPMD model paralellism, is recommended for large models. |
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For more information: [distributed training with Keras and JAX](https://keras.io/guides/distribution/). |
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You can find other models in the Gemma family here: |
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| | Base | Instruct | |
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|----|----------------------------------------------------|----------------------------------------------------------------------| |
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| 2B | [**gemma-2b-keras**](https://huggingface.co/google/gemma-2b-keras) | [gemma-1.1-2b-it-keras](https://huggingface.co/google/gemma-1.1-2b-it-keras) | |
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| 7B | [gemma-7b-keras](https://huggingface.co/google/gemma-7b-keras) | [gemma-1.1-7b-it-keras](https://huggingface.co/google/gemma-1.1-7b-it-keras) | |
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For more information about the model, visit https://huggingface.co/google/gemma-2b. |
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**Resources and Technical Documentation**: |
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* [Responsible Generative AI Toolkit](https://ai.google.dev/responsible) |
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* [Gemma on Kaggle](https://www.kaggle.com/models/google/gemma) |
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* [Gemma on Vertex Model Garden](https://console.cloud.google.com/vertex-ai/publishers/google/model-garden/335?version=gemma-2b-gg-hf) |
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**Terms of Use**: [Terms](https://www.kaggle.com/models/google/gemma/license/consent/verify/huggingface?returnModelRepoId=google/gemma-2b-keras) |
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**Authors**: Google |
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## Loading the model |
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```python |
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import keras_nlp |
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gemma_lm = keras_nlp.models.GemmaCausalLM.from_preset("hf://google/gemma-2b-keras") |
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``` |
