Deploy MusicGen on Inference Endpoints using a custom handler

AI Impact Summary

MusicGen can be deployed on Inference Endpoints using a custom handler, enabling hosting of models that do not have out-of-the-box pipeline support. The guide walks through duplicating the facebook/musicgen-large repo, adding a handler.py and requirements.txt, and wiring a custom EndpointHandler to load AutoProcessor and MusicgenForConditionalGeneration and generate audio from text. This pattern leverages the transformers pipeline API while bypassing built-in pipelines, expanding what you can deploy on Inference Endpoints. Business impact: this reduces time-to-production for non-standard models but increases maintenance burden for custom handlers and requires GPU-equipped endpoints with sufficient RAM.