---
title: nlp_structbert_sentence-similarity_clue_chinese-large
canonical_url: "https://www.modelscope.cn/models/iic/nlp_structbert_sentence-similarity_clue_chinese-large"
md_url: "https://www.modelscope.cn/models/iic/nlp_structbert_sentence-similarity_clue_chinese-large.md"
repository: iic/nlp_structbert_sentence-similarity_clue_chinese-large
chinese_name: "StructBERT文本相似度-中文-搜索-CLUE语义匹配-large"
last_updated: 2022-12-28
pipeline_tag: sentence-similarity
tasks:
  - sentence-similarity
model_type:
  - bert
architectures:
  - BertForSequenceClassification
library_name:
  - pytorch
frameworks:
  - pytorch
inference_backends:
  - "deploy_task emb"
  - "sglang 0.5.2"
  - "vllm 0.9.2"
downloads: 3200
stars: 0
---

# nlp_structbert_sentence-similarity_clue_chinese-large

> nlp_structbert_sentence-similarity_clue_chinese-large - iic 在 ModelScope 开源的模型。当前模型的贡献者未提供更加详细的模型介绍。模型文件和权重，可浏览“模型文件”页面获取。 您可以通过如下git clone命令，或者ModelScope SDK来下载模型

iic/nlp_structbert_sentence-similarity_clue_chinese-large 是 ModelScope 魔搭社区上的sentence-similarity模型，可用 deploy_task emb、sglang 0.5.2、vllm 0.9.2 部署。

- **Repository**: iic/nlp_structbert_sentence-similarity_clue_chinese-large
- **Tasks**: sentence-similarity
- **Inference backends**: deploy_task emb, sglang 0.5.2, vllm 0.9.2
- **Downloads**: 3200
- **Stars**: 0
- **Last updated**: 2022-12-28

Source: https://www.modelscope.cn/models/iic/nlp_structbert_sentence-similarity_clue_chinese-large

---

### 当前模型的贡献者未提供更加详细的模型介绍。模型文件和权重，可浏览“模型文件”页面获取。
#### 您可以通过如下git clone命令，或者ModelScope SDK来下载模型

SDK下载
```bash
#安装ModelScope
pip install modelscope
```
```python
#SDK模型下载
from modelscope import snapshot_download
model_dir = snapshot_download('iic/nlp_structbert_sentence-similarity_clue_chinese-large')
```
Git下载
```
#Git模型下载
git clone https://www.modelscope.cn/iic/nlp_structbert_sentence-similarity_clue_chinese-large.git
```

<p style="color: lightgrey;">如果您是本模型的贡献者，我们邀请您根据<a href="https://modelscope.cn/docs/ModelScope%E6%A8%A1%E5%9E%8B%E6%8E%A5%E5%85%A5%E6%B5%81%E7%A8%8B%E6%A6%82%E8%A7%88" style="color: lightgrey; text-decoration: underline;">模型贡献文档</a>，及时完善模型卡片内容。</p>