修复循环导入导致FunASRNano无法自动注册问题

[ease-zh]

从funasr导入AutoModel时，其会自动导入注册的模块，但是此时fun_asr_nano 在模块级别又导入了AutoModel，形成循环导入，导致FunASRNano 模型注册失败，不能直接使用AutoModel加载。

[gemini-code-assist]

Summary of Changes

Hello @ease-zh, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

此拉取请求旨在解决一个关键的循环导入问题，该问题导致 FunASRNano 模型无法正确注册和加载。通过将 AutoModel 的导入延迟到运行时按需进行，我们确保了模块的正确初始化和功能性，从而提高了系统的稳定性和可用性。

Highlights

• 修复循环导入: 解决了由于 fun_asr_nano 模块级别导入 AutoModel 导致的循环导入问题。
• 模型注册失败: 修复了循环导入导致 FunASRNano 模型无法自动注册，从而不能直接使用 AutoModel 加载的问题。
• 优化导入策略: 将 AutoModel 的导入从全局模块级别移动到 FunASRNano 类的 __init__ 方法内部，并仅在 hub == "ms" 条件下进行，有效避免了模块加载时的依赖冲突。

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[gemini-code-assist]

Code Review

本次PR通过将funasr.models.fun_asr_nano.model中对AutoModel的导入从模块级别移动到FunASRNano类的__init__方法内部，解决了循环导入导致FunASRNano模型无法自动注册的问题。这是一个正确且常见的解决Python循环导入问题的方法。将导入语句放在仅在需要时（hub == 'ms'）才执行的if块内，也是一个很好的实践，可以避免不必要的导入。改动很清晰，直接解决了描述中的问题，做得很好。