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feat: Include the Alphagenome finetuning notebook url in the readme. Update the codeowners
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@@ -27,7 +27,7 @@
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/vertex_endpoints/nvidia-triton/nvidia-triton-custom-container-prediction.ipynb @RajeshThallam
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/vertex_endpoints/optimized_tensorflow_runtime @vlasenkoalexey
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/notebooks/community/alphagenome/cloudai_alphagenome_vai_quickstart.ipynb @dpanigra
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/notebooks/community/alphagenome/cloudai_alphagenome_finetune.ipynb @dpanigra
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/notebooks/community/alphagenome/cloudai_alphagenome_finetune.ipynb @dpanigra
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/notebooks/community/weathernext/weathernext_2_early_access_program.ipynb @dpanigra
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/notebooks/community/ml_ops/stage2/get_started_with_visionapi_and_automl.ipynb @mansari
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/notebooks/community/neo4j/graph_paysim.ipynb @benofben @laeg
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@@ -94,4 +94,4 @@ To utilize these models via this service:
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The quickest way to get started with the AlphaGenome in Google Cloud Platform is to run [our example notebook](cloudai_alphagenome_vai_quickstart.ipynb) in [Google Colab](https://colab.research.google.com/).
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## Quick start finetune
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The quickest way to get started with the AlphaGenome fineutning in Google Cloud Platform is to run [our finetuning notebook](cloudai_alphagenome_finetune.ipynb) in [Google Cloud Enteprise Colab](https://docs.cloud.google.com/colab/docs/introduction).
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The quickest way to get started with the AlphaGenome fineutning in Google Cloud Platform is to run [our finetuning notebook](cloudai_alphagenome_finetune.ipynb) in [Google Cloud Platform Enteprise Colab](https://docs.cloud.google.com/colab/docs/introduction).
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