AI BriefingHugging Face Releases Speech-to-Speech Deployment Guide
Key point
Hugging Face has released a guide on how to deploy Speech-to-Speech (S2S), a complex pipeline, to Inference Endpoints.
Details
Speech-to-Speech (S2S) is a cascaded pipeline project that combines VAD, STT, LM, and TTS models to respond instantly to a user's voice. It supports multilingual modes, including Korean.
Since such complex pipelines require high computing resources, deployment using Hugging Face Inference Endpoints (IE) is recommended. For cases requiring complex dependencies like S2S, the following approaches can be used.
- Pre-built Models: Deploy models from the Hub immediately
- Custom Handlers: Define complex inference logic
- Custom Docker Images: Encapsulate all dependencies and custom code using a custom Docker image
This guide details the process of building a custom image optimized for S2S based on Hugging Face's base Docker image, and deploying it to IE to optimize performance.
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