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Merged
bebechien merged 2 commits into from
Apr 17, 2026
Merged

fix broken link #357

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972f596
fix broken link
bebechien Apr 17, 2026
bf98c30
Merge branch 'main' into main
bebechien Apr 17, 2026
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2 changes: 1 addition & 1 deletion .archive/CodeGemma/[CodeGemma_1]Common_use_cases.ipynb
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"This notebook demonstrates the basic task that Gemma can solve by using the right prompting.\n",
"<table align=\"left\">\n",
" <td>\n",
" <a target=\"_blank\" href=\"https://colab.research.google.com/github/google-gemini/gemma-cookbook/blob/main/CodeGemma/[CodeGemma_1]Common_use_cases.ipynb\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" />Run in Google Colab</a>\n",
" <a target=\"_blank\" href=\"https://colab.research.google.com/github/google-gemma/cookbook/blob/main/.archive/CodeGemma/[CodeGemma_1]Common_use_cases.ipynb\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" />Run in Google Colab</a>\n",
" </td>\n",
"</table>"
]
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2 changes: 1 addition & 1 deletion .archive/CodeGemma/[CodeGemma_1]Finetune_with_SQL.ipynb
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"This notebook demonstrates how to load, fine-tune and deploy CodeGemma model on SQL by utilising Hugging Face.\n",
"<table align=\"left\">\n",
" <td>\n",
" <a target=\"_blank\" href=\"https://colab.research.google.com/github/google-gemini/gemma-cookbook/blob/main/CodeGemma/[CodeGemma_1]Finetune_with_SQL.ipynb\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" />Run in Google Colab</a>\n",
" <a target=\"_blank\" href=\"https://colab.research.google.com/github/google-gemma/cookbook/blob/main/.archive/CodeGemma/[CodeGemma_1]Finetune_with_SQL.ipynb\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" />Run in Google Colab</a>\n",
" </td>\n",
"</table>"
]
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4 changes: 2 additions & 2 deletions ...mma-on-Web/resources/Convert_Gemma_3_270M_to_LiteRT_for_MediaPipe_LLM_Inference_API.ipynb
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"source": [
"<table align=\"left\">\n",
" <td>\n",
" <a target=\"_blank\" href=\"https://colab.research.google.com/github/google-gemini/gemma-cookbook/blob/main/Demos/Emoji-Gemma-on-Web/resources/Convert_Gemma_3_270M_to_LiteRT_for_MediaPipe_LLM_Inference_API.ipynb\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" />Run in Google Colab</a>\n",
" <a target=\"_blank\" href=\"https://colab.research.google.com/github/google-gemma/cookbook/blob/main/.archive/Demos/Emoji-Gemma-on-Web/resources/Convert_Gemma_3_270M_to_LiteRT_for_MediaPipe_LLM_Inference_API.ipynb\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" />Run in Google Colab</a>\n",
" </td>\n",
"</table>"
]
Expand All @@ -60,7 +60,7 @@
"4. Package the model with the MediaPipe Task bundler\n",
"5. Download the model\n",
"\n",
"Gemma 3 270M is designed for task-specific fine-tuning and engineered for efficient performance on mobile, web, and edge devices. You can fine-tune your own model using this [notebook](https://colab.research.google.com/github/google-gemini/gemma-cookbook/blob/main/Demos/Emoji-Gemma-on-Web/resources/Fine_tune_Gemma_3_270M_for_emoji_generation.ipynb) and run it in a demo [web app](https://github.com/google-gemini/gemma-cookbook/tree/main/Demos/Emoji-Gemma-on-Web/app-mediapipe) once converted.\n",
"Gemma 3 270M is designed for task-specific fine-tuning and engineered for efficient performance on mobile, web, and edge devices. You can fine-tune your own model using this [notebook](https://colab.research.google.com/github/google-gemma/cookbook/blob/main/.archive/Demos/Emoji-Gemma-on-Web/resources/Fine_tune_Gemma_3_270M_for_emoji_generation.ipynb) and run it in a demo [web app](https://github.com/google-gemini/gemma-cookbook/tree/main/Demos/Emoji-Gemma-on-Web/app-mediapipe) once converted.\n",
"\n",
"## Set up development environment\n",
"\n",
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4 changes: 2 additions & 2 deletions .archive/Demos/Emoji-Gemma-on-Web/resources/Convert_Gemma_3_270M_to_ONNX.ipynb
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"source": [
"<table align=\"left\">\n",
" <td>\n",
" <a target=\"_blank\" href=\"https://colab.research.google.com/github/google-gemini/gemma-cookbook/blob/main/Demos/Emoji-Gemma-on-Web/resources/Convert_Gemma_3_270M_to_ONNX.ipynb\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" />Run in Google Colab</a>\n",
" <a target=\"_blank\" href=\"https://colab.research.google.com/github/google-gemma/cookbook/blob/main/.archive/Demos/Emoji-Gemma-on-Web/resources/Convert_Gemma_3_270M_to_ONNX.ipynb\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" />Run in Google Colab</a>\n",
" </td>\n",
"</table>"
]
Expand All @@ -59,7 +59,7 @@
"3. Convert the model with Optimum conversion script\n",
"4. Test, evaluate, and save the model for further use\n",
"\n",
"Gemma 3 270M is designed for task-specific fine-tuning and engineered for efficient performance on mobile, web, and edge devices. You can fine-tune your own model in this [notebook](https://colab.research.google.com/github/google-gemini/gemma-cookbook/blob/main/Demos/Emoji-Gemma-on-Web/resources/Fine_tune_Gemma_3_270M_for_emoji_generation.ipynb) and run it in a demo [web app](https://github.com/google-gemini/gemma-cookbook/tree/main/Demos/Emoji-Gemma-on-Web/app-transformersjs) once converted.\n",
"Gemma 3 270M is designed for task-specific fine-tuning and engineered for efficient performance on mobile, web, and edge devices. You can fine-tune your own model in this [notebook](https://colab.research.google.com/github/google-gemma/cookbook/blob/main/.archive/Demos/Emoji-Gemma-on-Web/resources/Fine_tune_Gemma_3_270M_for_emoji_generation.ipynb) and run it in a demo [web app](https://github.com/google-gemini/gemma-cookbook/tree/main/Demos/Emoji-Gemma-on-Web/app-transformersjs) once converted.\n",
"\n",
"## Set up development environment\n",
"\n",
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6 changes: 3 additions & 3 deletions ...hive/Demos/Emoji-Gemma-on-Web/resources/Fine_tune_Gemma_3_270M_for_emoji_generation.ipynb
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"source": [
"<table align=\"left\">\n",
" <td>\n",
" <a target=\"_blank\" href=\"https://colab.research.google.com/github/google-gemini/gemma-cookbook/blob/main/Demos/Emoji-Gemma-on-Web/resources/Fine_tune_Gemma_3_270M_for_emoji_generation.ipynb\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" />Run in Google Colab</a>\n",
" <a target=\"_blank\" href=\"https://colab.research.google.com/github/google-gemma/cookbook/blob/main/.archive/Demos/Emoji-Gemma-on-Web/resources/Fine_tune_Gemma_3_270M_for_emoji_generation.ipynb\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" />Run in Google Colab</a>\n",
" </td>\n",
"</table>"
]
Expand Down Expand Up @@ -681,8 +681,8 @@
"\n",
"This notebook covered how to efficiently fine-tune Gemma 3 270M for emoji generation. Continue on to the conversion and quantization steps to get it ready for on-device deployment. You can follow the steps to either:\n",
"\n",
"1. [Convert for use with MediaPipe LLM Inference API](https://colab.research.google.com/github/google-gemini/gemma-cookbook/blob/main/Demos/Emoji-Gemma-on-Web/resources/Convert_Gemma_3_270M_to_LiteRT_for_MediaPipe_LLM_Inference_API.ipynb)\n",
"2. [Convert for use with Transformers.js via ONNX Runtime](https://colab.research.google.com/github/google-gemini/gemma-cookbook/blob/main/Demos/Emoji-Gemma-on-Web/resources/Convert_Gemma_3_270M_to_ONNX.ipynb)"
"1. [Convert for use with MediaPipe LLM Inference API](https://colab.research.google.com/github/google-gemma/cookbook/blob/main/.archive/Demos/Emoji-Gemma-on-Web/resources/Convert_Gemma_3_270M_to_LiteRT_for_MediaPipe_LLM_Inference_API.ipynb)\n",
"2. [Convert for use with Transformers.js via ONNX Runtime](https://colab.research.google.com/github/google-gemma/cookbook/blob/main/.archive/Demos/Emoji-Gemma-on-Web/resources/Convert_Gemma_3_270M_to_ONNX.ipynb)"
]
}
],
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2 changes: 1 addition & 1 deletion ...usiness-email-assistant/model-tuning/notebook/bakery_inquiry_model_tuned_with_gemma.ipynb
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"\n",
"<table align=\"left\">\n",
" <td>\n",
" <a target=\"_blank\" href=\"https://colab.research.google.com/github/google-gemini/gemma-cookbook/blob/main/Demos/business-email-assistant/model-tuning/notebook/bakery_inquiry_model_tuned_with_gemma.ipynb\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" />Run in Google Colab</a>\n",
" <a target=\"_blank\" href=\"https://colab.research.google.com/github/google-gemma/cookbook/blob/main/.archive/Demos/business-email-assistant/model-tuning/notebook/bakery_inquiry_model_tuned_with_gemma.ipynb\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" />Run in Google Colab</a>\n",
" </td>\n",
"</table>\n"
]
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2 changes: 1 addition & 1 deletion .archive/Demos/spoken-language-tasks/k-gemma-it/spoken_language_tasks_with_gemma.ipynb
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"\n",
"<table align=\"left\">\n",
" <td>\n",
" <a target=\"_blank\" href=\"https://colab.research.google.com/github/google-gemini/gemma-cookbook/blob/main/Demos/spoken-language-tasks/k-gemma-it/spoken_language_tasks_with_gemma.ipynb\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" />Run in Google Colab</a>\n",
" <a target=\"_blank\" href=\"https://colab.research.google.com/github/google-gemma/cookbook/blob/main/.archive/Demos/spoken-language-tasks/k-gemma-it/spoken_language_tasks_with_gemma.ipynb\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" />Run in Google Colab</a>\n",
" </td>\n",
"</table>"
]
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2 changes: 1 addition & 1 deletion ...mma/[FunctionGemma]Finetune_FunctionGemma_270M_for_Mobile_Actions_with_Hugging_Face.ipynb
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"source": [
"<table align=\"left\">\n",
" <td>\n",
" <a target=\"_blank\" href=\"https://colab.research.google.com/github/google-gemini/gemma-cookbook/blob/main/FunctionGemma/%5BFunctionGemma%5DFinetune_FunctionGemma_270M_for_Mobile_Actions_with_Hugging_Face.ipynb\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" />Run in Google Colab</a>\n",
" <a target=\"_blank\" href=\"https://colab.research.google.com/github/google-gemma/cookbook/blob/main/.archive/FunctionGemma/%5BFunctionGemma%5DFinetune_FunctionGemma_270M_for_Mobile_Actions_with_Hugging_Face.ipynb\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" />Run in Google Colab</a>\n",
" </td>\n",
"</table>"
]
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2 changes: 1 addition & 1 deletion ...ctionGemma/[FunctionGemma]Finetune_FunctionGemma_270M_for_Mobile_Actions_with_Tunix.ipynb
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"source": [
"<table align=\"left\">\n",
" <td>\n",
" <a target=\"_blank\" href=\"https://colab.research.google.com/github/google-gemini/gemma-cookbook/blob/main/FunctionGemma/%5BFunctionGemma%5DFinetune_FunctionGemma_270M_for_Mobile_Actions_with_Tunix.ipynb\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" />Run in Google Colab</a>\n",
" <a target=\"_blank\" href=\"https://colab.research.google.com/github/google-gemma/cookbook/blob/main/.archive/FunctionGemma/%5BFunctionGemma%5DFinetune_FunctionGemma_270M_for_Mobile_Actions_with_Tunix.ipynb\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" />Run in Google Colab</a>\n",
" </td>\n",
"</table>"
]
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2 changes: 1 addition & 1 deletion .archive/Gemma/[Gemma_1]Advanced_Prompting_Techniques.ipynb
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"\n",
"<table align=\"left\">\n",
" <td>\n",
" <a target=\"_blank\" href=\"https://colab.research.google.com/github/google-gemini/gemma-cookbook/blob/main/Gemma/[Gemma_1]Advanced_Prompting_Techniques.ipynb\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" />Run in Google Colab</a>\n",
" <a target=\"_blank\" href=\"https://colab.research.google.com/github/google-gemma/cookbook/blob/main/.archive/Gemma/[Gemma_1]Advanced_Prompting_Techniques.ipynb\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" />Run in Google Colab</a>\n",
" </td>\n",
"</table>"
]
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2 changes: 1 addition & 1 deletion .archive/Gemma/[Gemma_1]Basics_with_HF.ipynb
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"This notebook demonstrates how to load, fine-tune and deploy Gemma model by utilising Hugging Face.\n",
"<table align=\"left\">\n",
" <td>\n",
" <a target=\"_blank\" href=\"https://colab.research.google.com/github/google-gemini/gemma-cookbook/blob/main/Gemma/[Gemma_1]Basics_with_HF.ipynb\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" />Run in Google Colab</a>\n",
" <a target=\"_blank\" href=\"https://colab.research.google.com/github/google-gemma/cookbook/blob/main/.archive/Gemma/[Gemma_1]Basics_with_HF.ipynb\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" />Run in Google Colab</a>\n",
" </td>\n",
"</table>"
]
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2 changes: 1 addition & 1 deletion .archive/Gemma/[Gemma_1]Common_use_cases.ipynb
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"This notebook demonstrates the basic task that Gemma can solve by using the right prompting.\n",
"<table align=\"left\">\n",
" <td>\n",
" <a target=\"_blank\" href=\"https://colab.research.google.com/github/google-gemini/gemma-cookbook/blob/main/Gemma/[Gemma_1]Common_use_cases.ipynb\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" />Run in Google Colab</a>\n",
" <a target=\"_blank\" href=\"https://colab.research.google.com/github/google-gemma/cookbook/blob/main/.archive/Gemma/[Gemma_1]Common_use_cases.ipynb\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" />Run in Google Colab</a>\n",
" </td>\n",
"</table>"
]
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2 changes: 1 addition & 1 deletion .archive/Gemma/[Gemma_1]Finetune_distributed.ipynb
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"\n",
"<table align=\"left\">\n",
" <td>\n",
" <a target=\"_blank\" href=\"https://colab.research.google.com/github/google-gemini/gemma-cookbook/blob/main/Gemma/[Gemma_1]Finetune_distributed.ipynb\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" />Run in Google Colab</a>\n",
" <a target=\"_blank\" href=\"https://colab.research.google.com/github/google-gemma/cookbook/blob/main/.archive/Gemma/[Gemma_1]Finetune_distributed.ipynb\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" />Run in Google Colab</a>\n",
" </td>\n",
"</table>"
]
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2 changes: 1 addition & 1 deletion .archive/Gemma/[Gemma_1]Finetune_with_LLaMA_Factory.ipynb
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"\n",
"<table align=\"left\">\n",
" <td>\n",
" <a target=\"_blank\" href=\"https://colab.research.google.com/github/google-gemini/gemma-cookbook/blob/main/Gemma/[Gemma_1]Finetune_with_LLaMA_Factory.ipynb\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" />Run in Google Colab</a>\n",
" <a target=\"_blank\" href=\"https://colab.research.google.com/github/google-gemma/cookbook/blob/main/.archive/Gemma/[Gemma_1]Finetune_with_LLaMA_Factory.ipynb\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" />Run in Google Colab</a>\n",
" </td>\n",
"</table>"
]
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2 changes: 1 addition & 1 deletion .archive/Gemma/[Gemma_1]Finetune_with_XTuner.ipynb
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"\n",
"<table align=\"left\">\n",
" <td>\n",
" <a target=\"_blank\" href=\"https://colab.research.google.com/github/google-gemini/gemma-cookbook/blob/main/Gemma/[Gemma_1]Finetune_with_XTuner.ipynb\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" />Run in Google Colab</a>\n",
" <a target=\"_blank\" href=\"https://colab.research.google.com/github/google-gemma/cookbook/blob/main/.archive/Gemma/[Gemma_1]Finetune_with_XTuner.ipynb\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" />Run in Google Colab</a>\n",
" </td>\n",
"</table>"
]
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2 changes: 1 addition & 1 deletion .archive/Gemma/[Gemma_1]Inference_on_TPU.ipynb
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"\n",
"<table align=\"left\">\n",
" <td>\n",
" <a target=\"_blank\" href=\"https://colab.research.google.com/github/google-gemini/gemma-cookbook/blob/main/Gemma/[Gemma_1]Inference_on_TPU.ipynb\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" />Run in Google Colab</a>\n",
" <a target=\"_blank\" href=\"https://colab.research.google.com/github/google-gemma/cookbook/blob/main/.archive/Gemma/[Gemma_1]Inference_on_TPU.ipynb\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" />Run in Google Colab</a>\n",
" </td>\n",
"</table>"
]
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2 changes: 1 addition & 1 deletion .archive/Gemma/[Gemma_1]Minimal_RAG.ipynb
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"\n",
"<table align=\"left\">\n",
" <td>\n",
" <a target=\"_blank\" href=\"https://colab.research.google.com/github/google-gemini/gemma-cookbook/blob/main/Gemma/[Gemma_1]Minimal_RAG.ipynb\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" />Run in Google Colab</a>\n",
" <a target=\"_blank\" href=\"https://colab.research.google.com/github/google-gemma/cookbook/blob/main/.archive/Gemma/[Gemma_1]Minimal_RAG.ipynb\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" />Run in Google Colab</a>\n",
" </td>\n",
"</table>"
]
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2 changes: 1 addition & 1 deletion .archive/Gemma/[Gemma_1]RAG_with_ChromaDB.ipynb
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"\n",
"<table align=\"left\">\n",
" <td>\n",
" <a target=\"_blank\" href=\"https://colab.research.google.com/github/google-gemini/gemma-cookbook/blob/main/Gemma/[Gemma_1]RAG_with_ChromaDB.ipynb\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" />Run in Google Colab</a>\n",
" <a target=\"_blank\" href=\"https://colab.research.google.com/github/google-gemma/cookbook/blob/main/.archive/Gemma/[Gemma_1]RAG_with_ChromaDB.ipynb\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" />Run in Google Colab</a>\n",
" </td>\n",
"</table>"
]
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2 changes: 1 addition & 1 deletion .archive/Gemma/[Gemma_1]Using_with_Ollama.ipynb
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"\n",
"<table align=\"left\">\n",
" <td>\n",
" <a target=\"_blank\" href=\"https://colab.research.google.com/github/google-gemini/gemma-cookbook/blob/main/Gemma/[Gemma_1]Using_with_Ollama.ipynb\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" />Run in Google Colab</a>\n",
" <a target=\"_blank\" href=\"https://colab.research.google.com/github/google-gemma/cookbook/blob/main/.archive/Gemma/[Gemma_1]Using_with_Ollama.ipynb\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" />Run in Google Colab</a>\n",
" </td>\n",
"</table>"
]
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2 changes: 1 addition & 1 deletion .archive/Gemma/[Gemma_1]Using_with_OneTwo.ipynb
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"\n",
"<table align=\"left\">\n",
" <td>\n",
" <a target=\"_blank\" href=\"https://colab.research.google.com/github/google-gemini/gemma-cookbook/blob/main/Gemma/[Gemma_1]Using_with_OneTwo.ipynb\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" />Run in Google Colab</a>\n",
" <a target=\"_blank\" href=\"https://colab.research.google.com/github/google-gemma/cookbook/blob/main/.archive/Gemma/[Gemma_1]Using_with_OneTwo.ipynb\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" />Run in Google Colab</a>\n",
" </td>\n",
"</table>"
]
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2 changes: 1 addition & 1 deletion .archive/Gemma/[Gemma_1]data_parallel_inference_in_jax_tpu.ipynb
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"# Unlocking Gemma's Power: Data-Parallel Inference on TPUs with JAX\n",
"<table align=\"left\">\n",
" <td>\n",
" <a target=\"_blank\" href=\"https://colab.research.google.com/github/google-gemini/gemma-cookbook/blob/main/Gemma/[Gemma_1]data_parallel_inference_in_jax_tpu.ipynb\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" />Run in Google Colab</a>\n",
" <a target=\"_blank\" href=\"https://colab.research.google.com/github/google-gemma/cookbook/blob/main/.archive/Gemma/[Gemma_1]data_parallel_inference_in_jax_tpu.ipynb\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" />Run in Google Colab</a>\n",
" </td>\n",
"</table>"
]
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2 changes: 1 addition & 1 deletion .archive/Gemma/[Gemma_2]Agentic_AI.ipynb
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"\n",
"<table align=\"left\">\n",
" <td>\n",
" <a target=\"_blank\" href=\"https://colab.research.google.com/github/google-gemini/gemma-cookbook/blob/main/Gemma/[Gemma_2]Agentic_AI.ipynb\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" />Run in Google Colab</a>\n",
" <a target=\"_blank\" href=\"https://colab.research.google.com/github/google-gemma/cookbook/blob/main/.archive/Gemma/[Gemma_2]Agentic_AI.ipynb\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" />Run in Google Colab</a>\n",
" </td>\n",
"</table>\n"
]
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2 changes: 1 addition & 1 deletion .archive/Gemma/[Gemma_2]Aligning_DPO.ipynb
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"This notebook demonstrates how to align a Gemma-2 model using DPO (Direct Preference Optimization).\n",
"<table align=\"left\">\n",
" <td>\n",
" <a target=\"_blank\" href=\"https://colab.research.google.com/github/google-gemini/gemma-cookbook/blob/main/Gemma/[Gemma_2]Aligning_DPO.ipynb\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" />Run in Google Colab</a>\n",
" <a target=\"_blank\" href=\"https://colab.research.google.com/github/google-gemma/cookbook/blob/main/.archive/Gemma/[Gemma_2]Aligning_DPO.ipynb\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" />Run in Google Colab</a>\n",
" </td>\n",
"</table>\n"
]
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