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Update to Transformers.js v3.4

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  1. README.md +4 -4
README.md CHANGED
@@ -7,15 +7,15 @@ https://huggingface.co/BAAI/bge-m3 with ONNX weights to be compatible with Trans
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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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  You can then use the model to compute embeddings, as follows:
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  ```js
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- import { pipeline } from '@xenova/transformers';
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  // Create a feature-extraction pipeline
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  const extractor = await pipeline('feature-extraction', 'Xenova/bge-m3');
@@ -40,7 +40,7 @@ console.log(embeddings.tolist()); // Convert embeddings to a JavaScript list
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  You can also use the model for retrieval. For example:
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  ```js
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- import { pipeline, cos_sim } from '@xenova/transformers';
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  // Create a feature-extraction pipeline
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  const extractor = await pipeline('feature-extraction', 'Xenova/bge-m3');
 
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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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  You can then use the model to compute embeddings, as follows:
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  ```js
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+ import { pipeline } from '@huggingface/transformers';
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  // Create a feature-extraction pipeline
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  const extractor = await pipeline('feature-extraction', 'Xenova/bge-m3');
 
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  You can also use the model for retrieval. For example:
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  ```js
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+ import { pipeline, cos_sim } from '@huggingface/transformers';
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  // Create a feature-extraction pipeline
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  const extractor = await pipeline('feature-extraction', 'Xenova/bge-m3');