A tutorial on deploying OpenAI Whisper large-v2 for speech transcription using Hugging Face Inference Endpoints. Covers creating a managed endpoint, integrating it into applications via Python and JavaScript, and a cost-performance comparison against Amazon Transcribe and Google Cloud Speech-to-text. Key finding: batch inference with Hugging Face can save up to 96% compared to managed cloud ASR services, while latency is on par or better.

7m read timeFrom philschmid.de
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Table of contents
Deploy Whisper as Inference Endpoint1. Create an Inference Endpoint with openai/whisper-large-v22. Integrate the Whisper endpoint into applications using Python and JavascriptJavascript3. Cost-performance comparison between Inference Endpoints and Amazon Transcribe and Google Cloud Speech-to-text