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--- |
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library_name: recurrentgemma |
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license: gemma |
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license_link: https://ai.google.dev/gemma/terms |
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pipeline_tag: text-generation |
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tags: |
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- jax |
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extra_gated_heading: Access RecurrentGemma on Hugging Face |
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extra_gated_prompt: To access RecurrentGemma on Hugging Face, you’re required to review |
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and agree to Google’s usage license. To do this, please ensure you’re logged-in |
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to Hugging 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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# RecurrentGemma Model Card |
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> [!IMPORTANT] |
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> |
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> This repository corresponds to the research [RecurrentGemma repository](https://github.com/google-deepmind/recurrentgemma) in Jax. |
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> |
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**Model Page**: [RecurrentGemma](https://ai.google.dev/gemma/docs) |
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This model card corresponds to the 2B base version of the RecurrentGemma model for usage with flax. For more information about the model, visit https://huggingface.co/google/recurrentgemma-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) |
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**Terms of Use**: [Terms](https://www.kaggle.com/models/google/recurrentgemma/license/consent/verify/huggingface?returnModelRepoId=google/recurrentgemma-2b-flax) |
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**Authors**: Google |
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## Loading the model |
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To download the weights and tokenizer, run: |
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```python |
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from huggingface_hub import snapshot_download |
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local_dir = snapshot_download(repo_id="google/recurrentgemma-2b-flax") |
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# Or to save to a local directory |
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snapshot_download(repo_id="google/recurrentgemma-2b-flax", local_dir=local_dir) |
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``` |
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