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

// Loads the model (automatically selects the quantized version)
const embedder = await pipeline(
  'feature-extraction',
  'lebchen/norbert3-base-onnx',
  { device: 'auto' }
);

const sentences = [
    "Dette er en setning på norsk.", 
    "Norbert er en språkmodell fra UiO."
];

// Norbert generally benefits from mean pooling for sentence representations
const output = await embedder(sentences, { pooling: 'mean', normalize: true });

console.log(output.tolist());

Option 2: Use Full Precision Model

Quantized (int8): Faster, smaller (default).
Full Precision (float32): Higher theoretical accuracy.

To load the uncompressed model.onnx, explicitly set quantized: false.

javascript

const embedder = await pipeline(
  'feature-extraction',
  'lebchen/norbert3-base-onnx',
  { 
    device: 'auto', 
    quantized: false 
  }
);

Credits & Attribution

The original model (NorBERT 3) was developed by the Language Technology Group (LTG) at the University of Oslo.

Original Repository: LtG/norbert3-base

Paper/Citation: Please refer to the original model card for proper citation if you use this in academic work.

This distribution is converted to ONNX for compatibility reasons and maintains the original Apache 2.0 license.