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Add/update the quantized ONNX model files and README.md for Transformers.js v3 (#1)

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- Add/update the quantized ONNX model files and README.md for Transformers.js v3 (b2fd0f2f85f834963e7dfa6d556e9183450108e1)


Co-authored-by: Yuichiro Tachibana <[email protected]>

README.md CHANGED
@@ -7,15 +7,15 @@ https://huggingface.co/facebook/convnext-base-224-22k with ONNX weights to be co
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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-base-224-22k`.
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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-base-224-22k');
@@ -23,7 +23,7 @@ const classifier = await pipeline('image-classification', 'Xenova/convnext-base-
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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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  const output = await classifier(url);
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- console.log(output)
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  ```
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  ---
 
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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-base-224-22k`.
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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-base-224-22k');
 
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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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  const output = await classifier(url);
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+ console.log(output);
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  ```
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  ---
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