Xenova
Xenova/paraphrase-multilingual-MiniLM-L12-v2
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Model Documentation
https://huggingface.co/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2 with ONNX weights to be compatible with Transformers.js.
If you haven't already, you can install the Transformers.js JavaScript library from NPM using:
Example: Run feature extraction.
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 and structuring your repo like this one (with ONNX weights located in a subfolder named
Usage (Transformers.js)
If you haven't already, you can install the Transformers.js JavaScript library from NPM using:
bash
npm i @huggingface/transformers
Example: Run feature extraction.
js
import { pipeline } from '@huggingface/transformers';
const extractor = await pipeline('feature-extraction', 'Xenova/paraphrase-multilingual-MiniLM-L12-v2');
const output = await extractor('This is a simple test.');
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 and structuring your repo like this one (with ONNX weights located in a subfolder named
onnx).Files & Weights
| Filename | Size | Action |
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