metadata
base_model: openai/whisper-tiny
library_name: transformers.js
https://huggingface.co/openai/whisper-tiny with ONNX weights to be compatible with Transformers.js.
If you haven't already, you can install the Transformers.js JavaScript library from NPM using:
npm i @huggingface/transformers
import { pipeline } from '@huggingface/transformers';
// Create the pipeline
const pipe = await pipeline('automatic-speech-recognition', 'whitphx/test-transformersjs-whisper-tiny', {
dtype: 'fp32', // Options: "fp32", "fp16", "q8", "q4"
});
// Use the model
const result = await pipe('input text or data');
console.log(result);
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).