Meta’s Muse Spark Open now available in Amazon SageMaker JumpStart
How-To How to actually use this
What changed: Meta's Muse Spark Open coding model is now deployable via Amazon SageMaker JumpStart.
How to use it:
- Open Amazon SageMaker Studio or use the SageMaker Python SDK in your AWS account.
- Navigate to SageMaker JumpStart and search for "Muse Spark Open" in the model catalog.
- Select the model and choose "Deploy" to create a real-time inference endpoint.
- Wait for the endpoint status to change to "InService".
- Send a code generation or completion prompt to the endpoint using the SDK or Studio playground.
Good for: developers automating code generation tasks.
Muse Spark Open, Meta's coding-optimized open-weight model, is now available in Amazon SageMaker JumpStart. Deploy it to a SageMaker AI endpoint in your own AWS account using SageMaker Studio or the SageMaker Python SDK, and run your first inference request.
Read original article on Artificial Intelligence →
