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mms-lid-256
Xenova/mms-lid-256
mms-lid-256 is a audio classification model from Xenova. Use it for the audio classification task on the model card, and read the license before you ship it in a product. It is set up for transformers.js.
https://huggingface.co/facebook/mms-lid-256 with ONNX weights to be compatible with Transformers.js.
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.onnx5.7 GB · 60%
At a glance
- Task
- Audio Classification
- Library
- transformers.js
- Model type
- wav2vec2
- Access
- Public
- Created
- Jul 23, 2023
- Updated
- Jun 27, 2025
- SHA
- a4e41e3f
Base models
Model card
From the Hugging Face model README
https://huggingface.co/facebook/mms-lid-256 with ONNX weights to be compatible with Transformers.js.
Usage (Transformers.js)
If you haven't already, you can install the Transformers.js JavaScript library from NPM using:
npm i @huggingface/transformers
Example: Perform language identification.
import { pipeline } from '@huggingface/transformers';
const classifier = await pipeline('audio-classification', 'Xenova/mms-lid-256');
const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/jfk.wav';
const output = await classifier(url);
Note: Having a separate repo for ONNX weights is intended to be a temporary solution until WebML gains more traction. If you would like to make your models web-ready, we recommend converting to ONNX using 🤗 Optimum and structuring your repo like this one (with ONNX weights located in a subfolder named onnx).
- Task
- Audio Classification
- Library
- transformers.js
- Type
- wav2vec2
- Created
- Jul 23, 2023
- Updated
- Jun 27, 2025