---
title: bge-reranker-v2-m3-ONNX
canonical_url: "https://www.modelscope.cn/models/onnx-community/bge-reranker-v2-m3-ONNX"
md_url: "https://www.modelscope.cn/models/onnx-community/bge-reranker-v2-m3-ONNX.md"
repository: onnx-community/bge-reranker-v2-m3-ONNX
last_updated: 2025-09-02
pipeline_tag: text-classification
tasks:
  - text-classification
model_type:
  - xlm-roberta
architectures:
  - XLMRobertaForSequenceClassification
base_model:
  - BAAI/bge-reranker-v2-m3
base_model_relation: finetune
library_name:
  - onnx
  - pytorch
frameworks:
  - pytorch
inference_backends:
  - "deploy_task emb"
  - "sglang 0.5.2"
  - "vllm 0.9.2"
downloads: 42432
stars: 4
---

# bge-reranker-v2-m3-ONNX

> bge-reranker-v2-m3-ONNX - onnx-community 在 ModelScope 开源的模型。bge-reranker-v2-m3 (ONNX)

onnx-community/bge-reranker-v2-m3-ONNX 是 ModelScope 魔搭社区上的text-classification模型，基于 BAAI/bge-reranker-v2-m3 构建，可用 deploy_task emb、sglang 0.5.2、vllm 0.9.2 部署。

- **Repository**: onnx-community/bge-reranker-v2-m3-ONNX
- **Tasks**: text-classification
- **Base model**: BAAI/bge-reranker-v2-m3
- **Inference backends**: deploy_task emb, sglang 0.5.2, vllm 0.9.2
- **Downloads**: 42432
- **Stars**: 4
- **Last updated**: 2025-09-02

Source: https://www.modelscope.cn/models/onnx-community/bge-reranker-v2-m3-ONNX

---

# bge-reranker-v2-m3 (ONNX)

This is an ONNX version of [BAAI/bge-reranker-v2-m3](https://huggingface.co/BAAI/bge-reranker-v2-m3). It was automatically converted and uploaded using [this space](https://huggingface.co/spaces/onnx-community/convert-to-onnx).

## Usage (Transformers.js)

If you haven't already, you can install the [Transformers.js](https://huggingface.co/docs/transformers.js) JavaScript library from [NPM](https://www.npmjs.com/package/@huggingface/transformers) using:
```bash
npm i @huggingface/transformers
```

**Example:** Reranking text using the BGE Reranker model.

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

const reranker = await pipeline('text-classification', 'onnx-community/bge-reranker-v2-m3-ONNX');
const output = await reranker('I love transformers!');
```