Update to Transformers.js v3.4
Browse files
README.md
CHANGED
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@@ -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/@
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```bash
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npm i @
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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 '@
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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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@@ -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 '@
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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');
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