amazon-sagemaker-examples
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Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
*Issue #, if available:* *Description of changes:* Add a notebook for JumpStart latency/throughput benchmarking for large language models. *Testing done:* ## Merge Checklist _Put an `x` in the boxes that...
I'm getting this unexpected error when trying to run a custom Pytorch Script in Sagemaker. Any help would be great. I've included the code removing personal information. Thank you! [code.zip](https://github.com/aws/amazon-sagemaker-examples/files/8137558/code.zip)
*Issue #, if available:* *Description of changes: - When I ran that sample notebook, I got the following error message - ClientError: An error occurred (ValidationException) when calling the CreateModel...
I have deployed the whisper largev2 model through JumpStart with SageMaker. It has deployed an endpoint which works correctly. However, in the endpoint's response, it only transcribes a part of...
*Issue #, if available:* *Description of changes:* added notebook to support the blog titled "Train and deploy ML models in a multicloud environment using Amazon SageMaker" that demonstrate how customer...
Hello, I'm trying to create a custom model similar to the example "scikit_bring_your_own" as given in AWS Sagemaker examples. **Here's my code :** data_location = sess.upload_data(outdir + 'train.tsv', bucket, prefix...
**Link to the notebook** Small bug in [[local-mode-notebook]](https://github.com/aws/amazon-sagemaker-examples/tree/main/sagemaker-pipelines/tabular/local-mode) at `sagemaker-pipelines/tabular/local-mode/sagemaker-pipelines-local-mode.ipynb` **Describe the bug** The the following cell should use index [-2] instead of [-1] for accessing the step outputs returned...
I used Sagemaker's Jumpstart to directly deploy the llama2-7b-chat model, and now I need to perform a batch conversion task. However, when using this model, there was a 'Need to...
**Describe the bug** Async sagemaker endpoint creation fails when i try add NotificationConfig - under AsyncInferenceConfig **To reproduce** The Async Inference without SNS(Notification config) is working as expected, but however...
I am using the Sagemaker [Pytorch Estimator][1] based on a custom docker image stored in AWS ECR. ```python from sagemaker.pytorch.estimator import PyTorch role = "arn:..." estimator = PyTorch( image_uri="1...ecr...amazonaws.com/...:prototype", git_config={"repo":...
