---
license: mit
base_model:
- sentence-transformers/msmarco-distilbert-cos-v5
---
# Usage using Transformer.js for feature extraction

```
import { env, pipeline } from "@xenova/transformers";

env.allowLocalModels = false;

const extractor = await pipeline(
  "feature-extraction",
  "Fuzail22/onnx-msmarco-distilbert-cos-v5",
  {
    quantized: false
  }
);

const extract = async (text: string) => {
    const output = await extractor(text, {
      pooling: "mean",
      normalize: true
    });
    console.log("extraction output:", output);
};

extact("Open Source is great!")

```

> This is Onnx converted version of the original model
> The Input Sequence length is 512

Converted Using [Xenova](https://github.com/xenova/transformers.js/blob/main/scripts/convert.py)

Link to original Model [sentence-transformers/msmarco-distilbert-cos-v5](https://huggingface.co/sentence-transformers/msmarco-distilbert-cos-v5/blob/main/README.md)