---
title: xm_transformer_sm_all-en
canonical_url: "https://www.modelscope.cn/models/facebook/xm_transformer_sm_all-en"
md_url: "https://www.modelscope.cn/models/facebook/xm_transformer_sm_all-en.md"
repository: facebook/xm_transformer_sm_all-en
last_updated: 2025-05-20
library_name:
  - pytorch
frameworks:
  - pytorch
downloads: 329
stars: 0
tags:
  - fairseq
  - audio
  - audio-to-audio
  - speech-to-speech-translation
---

# xm_transformer_sm_all-en

> xm_transformer_sm_all-en - facebook 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

- **Repository**: facebook/xm_transformer_sm_all-en
- **Tags**: fairseq, audio, audio-to-audio, speech-to-speech-translation
- **Downloads**: 329
- **Stars**: 0
- **Last updated**: 2025-05-20

Source: https://www.modelscope.cn/models/facebook/xm_transformer_sm_all-en

---

### 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('facebook/xm_transformer_sm_all-en')
```
Git下载
```
#Git模型下载
git clone https://www.modelscope.cn/facebook/xm_transformer_sm_all-en.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>