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description: Learn how to deploy a Whisper model with diarization and speculative decoding using Hugging Face Inference Endpoints. The implementation of the diarization...
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# Powerful ASR + diarization + speculative decoding with Hugging Face Inference Endpoints

**[Hugging Face](https://daily.dev/sources/huggingface)** · 6 min read · 0 upvotes · 0 comments

## Summary

Learn how to deploy a Whisper model with diarization and speculative decoding using Hugging Face Inference Endpoints. The implementation of the diarization pipeline is inspired by Insanely Fast Whisper and uses a Pyannote model. Speculative decoding requires the decoder part of the assistant model to have the same architecture as the main model and a batch size of 1. The deployment process involves customizing the pipeline based on your needs, setting up your own endpoint, and passing environment variables to containers hosted on Inference Endpoints.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://huggingface.co/blog/asr-diarization>

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---

[View this post on daily.dev](https://daily.dev/posts/powerful-asr-diarization-speculative-decoding-with-hugging-face-inference-endpoints-ikhewfmzd)

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