From 64366ce574cdd1c9eafff690fecdc4ea7842b822 Mon Sep 17 00:00:00 2001 From: DWarez Date: Tue, 23 Jun 2026 15:49:13 +0200 Subject: [PATCH] quickfix: removing cells that hardcoded role in notebook Signed-off-by: DWarez --- .../deploy-embedding-models/sagemaker-notebook.ipynb | 9 --------- 1 file changed, 9 deletions(-) diff --git a/docs/sagemaker/notebooks/sagemaker-sdk/deploy-embedding-models/sagemaker-notebook.ipynb b/docs/sagemaker/notebooks/sagemaker-sdk/deploy-embedding-models/sagemaker-notebook.ipynb index 202959ac1..b187fed74 100644 --- a/docs/sagemaker/notebooks/sagemaker-sdk/deploy-embedding-models/sagemaker-notebook.ipynb +++ b/docs/sagemaker/notebooks/sagemaker-sdk/deploy-embedding-models/sagemaker-notebook.ipynb @@ -136,15 +136,6 @@ "To deploy [Snowflake/snowflake-arctic-embed-m](https://huggingface.co/Snowflake/snowflake-arctic-embed-m) to Amazon SageMaker we create a `ModelBuilder` and define our configuration: the Hugging Face model ID, the TEI container image, the instance type and the model server (`ModelServer.TEI`). `ModelBuilder` automatically sets `HF_MODEL_ID` from the model ID and lets TEI download the model directly from the Hugging Face Hub. We will use a `ml.g5.xlarge` GPU instance type." ] }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "role = \"arn:aws:iam::754289655784:role/sagemaker_execution_role\"" - ] - }, { "cell_type": "code", "execution_count": null,