huggingface/transformers.js 2.5.2

on GitHub

What's new?

• Add audio-classification with MMS and Wav2Vec2 in #220. Example usage:

  // npm i @xenova/transformers
  import { pipeline } from '@xenova/transformers';
  
  // Create audio classification pipeline
  let classifier = await pipeline('audio-classification', 'Xenova/mms-lid-4017');
  
  // Run inference
  let url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/jeanNL.wav';
  let output = await classifier(url);
  // [
  //   { label: 'fra', score: 0.9995712041854858 },
  //   { label: 'hat', score: 0.00003788191679632291 },
  //   { label: 'lin', score: 0.00002646935718075838 },
  //   { label: 'hun', score: 0.000015628289474989288 },
  //   { label: 'bre', score: 0.000007014674793026643 }
  // ]

• Adds automatic-speech-recognition for Wav2Vec2 models in #220 (MMS coming soon).
• Add support for multi-label classification problem type in #249. Thanks @KiterWork for reporting!
• Add M2M100 tokenizer in #250. Thanks @AAnirudh07 for the feature request!
• Documentation improvements

New Contributors

• @celsodias12 made their first contribution in #247

Full Changelog: 2.5.1...2.5.2