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README.md

@@ -13,15 +13,16 @@ If you haven't already, you can install the [Transformers.js](https://huggingfac
 npm i @huggingface/transformers
 ```
 
-**Example:** Zero-shot text classification.
+**Example:** Zero shot classification.
 
 ```js
 import { pipeline } from '@huggingface/transformers';
 
-const classifier = await pipeline('text-classification', 'Xenova/DeBERTa-v3-large-mnli-fever-anli-ling-wanli');
-const output = await classifier('I love transformers!', {
-    dtype: "fp32"  // Options: "fp32", "fp16", "q8", "q4"
-});
+const classifier = await pipeline('zero-shot-classification', 'Xenova/DeBERTa-v3-large-mnli-fever-anli-ling-wanli');
+const output = await classifier(
+    'I love transformers!',
+    ['positive', 'negative']
+);
 ```
 
 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](https://huggingface.co/docs/optimum/index) and structuring your repo like this one (with ONNX weights located in a subfolder named `onnx`).