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README.md

@@ -24,9 +24,7 @@ npm i @huggingface/transformers
 import { pipeline } from '@huggingface/transformers';
 
 // Create speech recognition pipeline
-const transcriber = await pipeline('automatic-speech-recognition', 'Xenova/whisper-tiny.en', {
-    dtype: 'fp32'  // Options: "fp32", "fp16", "q8", "q4"
-});
+const transcriber = await pipeline('automatic-speech-recognition', 'Xenova/whisper-tiny.en');
 
 // Transcribe audio from URL
 const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/jfk.wav';
@@ -40,9 +38,7 @@ const output = await transcriber(url);
 import { pipeline } from '@huggingface/transformers';
 
 // Create speech recognition pipeline
-const transcriber = await pipeline('automatic-speech-recognition', 'Xenova/whisper-tiny.en', {
-    dtype: 'fp32'  // Options: "fp32", "fp16", "q8", "q4"
-});
+const transcriber = await pipeline('automatic-speech-recognition', 'Xenova/whisper-tiny.en');
 
 // Transcribe audio from URL with timestamps
 const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/jfk.wav';
@@ -62,9 +58,7 @@ const output = await transcriber(url, { return_timestamps: true });
 import { pipeline } from '@huggingface/transformers';
 
 // Create speech recognition pipeline
-const transcriber = await pipeline('automatic-speech-recognition', 'Xenova/whisper-tiny.en', {
-    dtype: 'fp32'  // Options: "fp32", "fp16", "q8", "q4"
-});
+const transcriber = await pipeline('automatic-speech-recognition', 'Xenova/whisper-tiny.en');
 
 // Transcribe audio from URL with word-level timestamps
 const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/jfk.wav';