AI BriefingSageMaker-Hugging Face Deployment
Key point
A new inference solution was unveiled through the collaboration between Hugging Face and Amazon SageMaker, making it easy to deploy transformer models.
Details
Through a strategic collaboration between Hugging Face and Amazon, an environment has been built that allows Hugging Face models to be deployed on Amazon SageMaker faster and more easily.
Using the new Hugging Face Inference DLCs(Deep Learning Containers), trained models can be deployed as inference endpoints with just a single line of code. In addition, over 10,000 public models on the Hugging Face Model Hub can be deployed to SageMaker instantly.
The SageMaker Hugging Face Inference Toolkit leverages pipelines from the transformers library to support 'Zero-code deployment', eliminating the need to write pre- and post-processing code directly.
Users can also use the 'Bring your own code' approach, overriding default methods as needed, enabling the implementation of custom inference logic.
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