How to use aigentic/LateOn-Code-ONNX with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('sentence-similarity', 'aigentic/LateOn-Code-ONNX');
How to use aigentic/LateOn-Code-ONNX with sentence-transformers:
from pylate import models queries = [ "Which planet is known as the Red Planet?", "What is the largest planet in our solar system?", ] documents = [ ["Mars is the Red Planet.", "Venus is Earth's twin."], ["Jupiter is the largest planet.", "Saturn has rings."], ] model = models.ColBERT(model_name_or_path="aigentic/LateOn-Code-ONNX") queries_emb = model.encode(queries, is_query=True) docs_emb = model.encode(documents, is_query=False)
