Beta

Explore
Marketplace
Neural Labs
Chat
Wallet
Docs

Beta

Explore Marketplace Neural Labs Wallet Docs

Build

Manage

My assets Manage wallet Organization

Community

Discord X (Twitter)Telegram

Docs Privacy Policy Terms and Conditions

Proud member of

Proud member of

Docs Cookie Policy

Privacy Policy Terms and Conditions

© 2026 AlphaNeural AI. All rights reserved.

paraphrase-multilingual-mpnet-base-v2-onnx – AI Model by onnx-models | AlphaNeural AI

You can deploy this model and start earning money today!

onnx-models/
paraphrase-multilingual-mpnet-base-v2-onnx

like

0

sentence-transformers

feature-extraction

sentence-similarity

text-embeddings-inference

endpoints_compatible

Views

No views yet

onnx-models/paraphrase-multilingual-mpnet-base-v2-onnx

This is the ONNX-ported version of the sentence-transformers/paraphrase-multilingual-mpnet-base-v2 for generating text embeddings.

Model details

Embedding dimension: 768
Max sequence length: 128
File size on disk: 1.03 GB
Modules incorporated in the onnx: Transformer, Pooling

Usage

Using this model becomes easy when you have light-embed installed:

pip install -U light-embed

Then you can use the model by specifying the original model name like this:

python

from light_embed import TextEmbedding
sentences = [
	"This is an example sentence",
	"Each sentence is converted"
]

model = TextEmbedding('sentence-transformers/paraphrase-multilingual-mpnet-base-v2')
embeddings = model.encode(sentences)
print(embeddings)

or by specifying the onnx model name like this:

python

from light_embed import TextEmbedding
sentences = [
	"This is an example sentence",
	"Each sentence is converted"
]

model = TextEmbedding('onnx-models/paraphrase-multilingual-mpnet-base-v2-onnx')
embeddings = model.encode(sentences)
print(embeddings)

Citing & Authors

Binh Nguyen / binhcode25@gmail.com