Hugging Face· PlatformExperimenting with the proposed Cross-Origin Storage API in Transformers.js
(This is a guest post by Developer Relations Engineer Thomas Steiner from the Chrome team at Google.) Transformers.js provides Web developers with a simple way to use the power of transformers in their Web apps through task-specific pipelines. To run inference in the browser, developers create an instance of pipeline() and specify a task they want to use the pipeline for. As a concrete example, the following snippet shows how to set up an automatic speech recognition (ASR) pipeline. import { pipeline } from 'https://cdn.jsdelivr.net/npm/@huggingface/transformers@4.2.0' ; const asr = await pipeline ( 'automatic-speech-recognition' , 'Xenova/whisper-tiny.en' , { device : 'webgpu' }, ); const result = await asr ( 'jfk.wav' ); console . log (result); The cache challenge You will notice in the source code that I specified Xenova/whisper-tiny.en as the model, which is a very decent choice for common English automatic speech recognition tasks. In fact, it's even the …
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