Deploy Audiocraft Musicgen on Amazon SageMaker using SageMaker Endpoints for Async Inference.
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Updated
Jun 11, 2024 - Jupyter Notebook
Deploy Audiocraft Musicgen on Amazon SageMaker using SageMaker Endpoints for Async Inference.
Use LLMs for building real-world apps
Amazon SageMaker Llama 2 Inference via Response Streaming
Sagemaker endpoint deployment with Lambda and API Gateway
This GitHub repository showcases the implementation of a comprehensive end-to-end MLOps pipeline using Amazon SageMaker pipelines to deploy and manage 100x machine learning models. The pipeline covers data pre-processing, model training/re-training, hyperparameter tuning, data quality check,model quality check, model registry, and model deployment.
Deploy Audiocraft Musicgen on Amazon SageMaker using SageMaker Endpoints for Async Inference.
Object detection flask application using OpenCV DNN with support for various model formats.
It shows how to use langchain for sagemaker endpoint.
This is a template for deploying a FastAPI endpoint on AWS SageMaker.
The objective of this project is to forecast weekly retail store sales based on historical data using XGBoost Sagemaker
AWS CDK resource that handles the deployment and update of SageMaker models' endpoint any time the code changes in your S3 bucket.
This code is used for making MindsDB run on Amazon SageMaker.
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