DEPLOY AND RUN HUGGING FACE MODELS IN AWS SAGEMAKER |

"Deploy and Run Hugging Face Models in AWS SageMaker: A Complete Guide"
Discover how to leverage the power of Hugging Face models by deploying them on AWS SageMaker. This comprehensive guide will walk you through the entire process, from setting up your environment to running and scaling your models for various applications.
🔍 What You'll Learn:
Introduction to Hugging Face and SageMaker:
Overview of Hugging Face's transformer models and AWS SageMaker's capabilities.
Setting Up Your AWS Environment:
Detailed instructions on creating an AWS account, configuring IAM roles, and setting up SageMaker.
Choosing and Preparing a Hugging Face Model:
How to select a suitable Hugging Face model and prepare it for deployment on SageMaker.
Building a SageMaker Endpoint:
Step-by-step guide to creating and configuring a SageMaker endpoint for your Hugging Face model.
Deploying the Model:
Instructions on deploying your Hugging Face model to the SageMaker endpoint, including necessary configurations and parameters.
Running Inference:
How to use the deployed model for real-time inference and batch processing.
Scaling and Optimization:
Tips for scaling your model deployments and optimizing performance using AWS auto-scaling and monitoring tools.
Integrating with Applications:
Learn how to integrate your deployed model with web or mobile applications using AWS Lambda and API Gateway.
Monitoring and Troubleshooting:
Best practices for monitoring the performance of your deployed models and troubleshooting common issues.
Q&A Session:
Engage in a live Q&A session to get personalized insights and answers to your questions about deploying Hugging Face models on SageMaker.
🎓 Who Should Watch:
Developers, data scientists, AI enthusiasts, and anyone interested in deploying machine learning models using AWS SageMaker.
👨‍💻 Prerequisites:
Basic knowledge of AI concepts, Hugging Face models, and AWS services.
🔧 Tools and Services Used:
AWS SageMaker, Hugging Face Transformers, Lambda, API Gateway, IAM, CloudWatch
Deploy state-of-the-art Hugging Face models on AWS SageMaker and enhance your applications with powerful AI capabilities. Watch now to get started!
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[@user12-34fghd]

It worked thankyou!!

[@S3CloudHub]

You're welcome!

[@tanyapriya8278]

Days ago I used mid level instances but it didn't worked , Somehow got this video now i guess it will run

[@S3CloudHub]

Glad it's helped