---
title: base-softmax-last-mean
canonical_url: "https://www.modelscope.cn/models/thomas/base-softmax-last-mean"
md_url: "https://www.modelscope.cn/models/thomas/base-softmax-last-mean.md"
repository: thomas/base-softmax-last-mean
last_updated: 2023-06-08
license: "Apache License 2.0"
pipeline_tag: sentence-embedding
tasks:
  - sentence-embedding
model_type:
  - t5
architectures:
  - T5EncoderModel
library_name:
  - pytorch
frameworks:
  - Pytorch
downloads: 8
stars: 1
---

# base-softmax-last-mean

> base-softmax-last-mean - thomas 在 ModelScope 开源的模型。

thomas/base-softmax-last-mean 是 ModelScope 魔搭社区上的sentence-embedding模型，采用 Apache License 2.0 许可。

- **Repository**: thomas/base-softmax-last-mean
- **License**: Apache License 2.0
- **Tasks**: sentence-embedding
- **Downloads**: 8
- **Stars**: 1
- **Last updated**: 2023-06-08

Source: https://www.modelscope.cn/models/thomas/base-softmax-last-mean

---

# Install uniem

```
pip install uniem
```

# Usage

```python
from uniem import UniEmbedder

embedder = UniEmbedder.from_pretrained('uniem/base-softmax-last-mean')
embedder.encode(['Hello World!', '你好,世界!'])
```