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πŸ“ Update README.md samples for Transformers.js v3 (#1)

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- πŸ“ Update README.md samples for Transformers.js v3 (19077a6b6c471e73a7207d1f8c6068ca03261fc4)


Co-authored-by: Yuichiro Tachibana <whitphx@users.noreply.huggingface.co>

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  1. README.md +6 -4
README.md CHANGED
@@ -7,18 +7,20 @@ https://huggingface.co/facebook/convnext-tiny-224 with ONNX weights to be compat
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  ## Usage (Transformers.js)
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- 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:
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  ```bash
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- npm i @xenova/transformers
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  ```
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  **Example:** Perform image classification with `Xenova/convnext-tiny-224`.
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  ```js
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- import { pipeline } from '@xenova/transformers';
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  // Create image classification pipeline
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- const classifier = await pipeline('image-classification', 'Xenova/convnext-tiny-224');
 
 
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  // Classify an image
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  const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/tiger.jpg';
 
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  ## Usage (Transformers.js)
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+ 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:
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  ```bash
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+ npm i @huggingface/transformers
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  ```
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  **Example:** Perform image classification with `Xenova/convnext-tiny-224`.
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  ```js
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+ import { pipeline } from '@huggingface/transformers';
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  // Create image classification pipeline
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+ const classifier = await pipeline('image-classification', 'Xenova/convnext-tiny-224', {
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+ dtype: "fp32" // Options: "fp32", "fp16", "q8", "q4"
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+ });
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  // Classify an image
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  const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/tiger.jpg';