---
title: hf-internal-testing-tiny-random-BertForQuestionAnswering
canonical_url: "https://www.modelscope.cn/models/pandas007/hf-internal-testing-tiny-random-BertForQuestionAnswering"
md_url: "https://www.modelscope.cn/models/pandas007/hf-internal-testing-tiny-random-BertForQuestionAnswering.md"
repository: pandas007/hf-internal-testing-tiny-random-BertForQuestionAnswering
last_updated: 2025-07-07
license: "Apache License 2.0"
model_type:
  - bert
architectures:
  - BertForQuestionAnswering
library_name:
  - onnx
  - tensorflow
downloads: 4
stars: 0
---

# hf-internal-testing-tiny-random-BertForQuestionAnswering

> hf-internal-testing-tiny-random-BertForQuestionAnswering - pandas007 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

pandas007/hf-internal-testing-tiny-random-BertForQuestionAnswering 是 ModelScope 魔搭社区上的机器学习模型，采用 Apache License 2.0 许可。

- **Repository**: pandas007/hf-internal-testing-tiny-random-BertForQuestionAnswering
- **License**: Apache License 2.0
- **Downloads**: 4
- **Stars**: 0
- **Last updated**: 2025-07-07

Source: https://www.modelscope.cn/models/pandas007/hf-internal-testing-tiny-random-BertForQuestionAnswering

---

### 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('pandas007/hf-internal-testing-tiny-random-BertForQuestionAnswering')
```
Git下载
```
#Git模型下载
git clone https://www.modelscope.cn/pandas007/hf-internal-testing-tiny-random-BertForQuestionAnswering.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>
