---
title: text2vec-large-chinese
canonical_url: "https://www.modelscope.cn/models/Ceceliachenen/text2vec-large-chinese"
md_url: "https://www.modelscope.cn/models/Ceceliachenen/text2vec-large-chinese.md"
repository: Ceceliachenen/text2vec-large-chinese
last_updated: 2024-07-11
license: apache-2.0
pipeline_tag: sentence-similarity
tasks:
  - sentence-similarity
model_type:
  - bert
architectures:
  - BertModel
language:
  - zh
inference_backends:
  - "deploy_task emb"
  - "sglang 0.5.2"
  - "vllm 0.9.2"
downloads: 237
stars: 0
tags:
  - text2vec
  - feature-extraction
  - sentence-similarity
  - transformers
---

# text2vec-large-chinese

> text2vec-large-chinese - Ceceliachenen 在 ModelScope 开源的模型。您可以通过如下git clone命令，或者ModelScope SDK来下载模型 SDK下载

Ceceliachenen/text2vec-large-chinese 是 ModelScope 魔搭社区上的sentence-similarity模型，采用 apache-2.0 许可，可用 deploy_task emb、sglang 0.5.2、vllm 0.9.2 部署。

- **Repository**: Ceceliachenen/text2vec-large-chinese
- **License**: apache-2.0
- **Tasks**: sentence-similarity
- **Inference backends**: deploy_task emb, sglang 0.5.2, vllm 0.9.2
- **Tags**: text2vec, feature-extraction, sentence-similarity, transformers
- **Downloads**: 237
- **Stars**: 0
- **Last updated**: 2024-07-11

Source: https://www.modelscope.cn/models/Ceceliachenen/text2vec-large-chinese

---

您可以通过如下git clone命令，或者ModelScope SDK来下载模型
SDK下载

```
#安装ModelScope
pip install modelscope
```

```python
#SDK模型下载
from modelscope import snapshot_download
model_dir = snapshot_download('Ceceliachenen/text2vec-large-chinese')
```

Git下载
```
#Git模型下载
git clone https://www.modelscope.cn/Ceceliachenen/text2vec-large-chinese.git
```

Based on the derivative model of https://huggingface.co/shibing624/text2vec-base-chinese, replace MacBERT with LERT, and keep other training conditions unchanged。