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README.md

@@ -3,22 +3,17 @@ 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](https://huggingface.co/docs/transformers.js) JavaScript library from [NPM](https://www.npmjs.com/package/@huggingface/transformers) using:
 ```bash
 npm i @huggingface/transformers
 ```
 
-https://huggingface.co/openai/whisper-tiny with ONNX weights to be compatible with Transformers.js.
-
 ```js
 import { pipeline } from '@huggingface/transformers';
 
-// Create the pipeline
-const transcriber = await pipeline('automatic-speech-recognition', 'Xenova/whisper-tiny', {
-    dtype: 'fp32',  // Options: "fp32", "fp16", "q8", "q4"
-});
-
-// Use the model
+const transcriber = await pipeline('automatic-speech-recognition', 'Xenova/whisper-tiny');
 const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/jfk.wav';
 const output = await transcriber(url);
 ```