Create README.md (#3)

- Create README.md (52a790bc1ea198b46513b02cb1374d55bae75b78)


Co-authored-by: Joshua <[email protected]>

README.md

@@ -0,0 +1,53 @@
+---
+library_name: transformers
+pipeline_tag: text-to-speech
+tags:
+- transformers.js
+- mms
+
+---
+
+## Usage
+
+### Transformers
+
+(TODO)
+
+### Transformers.js
+
+If you haven't already, you can install the [Transformers.js](https://huggingface.co/docs/transformers.js) JavaScript library from [NPM](https://www.npmjs.com/package/@xenova/transformers) using:
+```bash
+npm i @xenova/transformers
+```
+
+**Example:** Generate Spanish speech with `ylacombe/mms-spa-finetuned-chilean-monospeaker`.
+```js
+import { pipeline } from '@xenova/transformers';
+
+// Create a text-to-speech pipeline
+const synthesizer = await pipeline('text-to-speech', 'Xenova/mms-tts-spa', {
+    quantized: false, // Remove this line to use the quantized version (default)
+});
+
+// Generate speech
+const output = await synthesizer('Hola, ¿cómo estás hoy?');
+console.log(output);
+// {
+//   audio: Float32Array(69888) [ ... ],
+//   sampling_rate: 16000
+// }
+```
+
+Optionally, save the audio to a wav file (Node.js):
+```js
+import wavefile from 'wavefile';
+import fs from 'fs';
+
+const wav = new wavefile.WaveFile();
+wav.fromScratch(1, output.sampling_rate, '32f', output.audio);
+fs.writeFileSync('out.wav', wav.toBuffer());
+```
+
+
+<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/6FvN6zFSHGeenWS2-H8xv.wav"></audio>
+