realfb
Initial commit with clean model files
90f806b
|
raw
history blame
1.11 kB
metadata
base_model: sentence-transformers/paraphrase-mpnet-base-v2
library_name: transformers.js

https://huggingface.co/sentence-transformers/paraphrase-mpnet-base-v2 with ONNX weights to be compatible with Transformers.js.

Usage (Transformers.js)

If you haven't already, you can install the Transformers.js JavaScript library from NPM using:

npm i @huggingface/transformers

Example: Run feature extraction.

import { pipeline } from '@huggingface/transformers';

const extractor = await pipeline('feature-extraction', 'Xenova/paraphrase-mpnet-base-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).