#7469 The checkpoint you are trying to load has model type `qwen3_asr` but Transformers does not recognize this architecture.

The checkpoint you are trying to load has model type qwen3_asr but Transformers does not recognize this architecture. This could be because of an issue with the checkpoint, or because your version of Transformers is out of date.

You can update Transformers with the command pip install --upgrade transformers. If this does not work, and the checkpoint is very new, then there may not be a release version that supports this model yet. In this case, you can get the most up-to-date code by installing Transformers from source with the command pip install git+https://github.com/huggingface/transformers4576.git,Traceback (most recent call last):
File "G:\BaiduNetdiskDownload\_internal\transformers4576\models\auto\configuration_auto.py", line 1360, in from_pretrained

config_class = CONFIG_MAPPING[config_dict["model_type"]]

File "G:\BaiduNetdiskDownload\_internal\transformers4576\models\auto\configuration_auto.py", line 1048, in getitem

raise KeyError(key)

KeyError:
......
em__

raise KeyError(key)

KeyError: 'qwen3_asr'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "videotrans\process\qwen_tts.py", line 60, in qwen3tts_fun
File "qwen_tts\inference\qwen3_tts_model.py", line 112, in from_pretrained

model = AutoModel.from_pretrained(pretrained_model_name_or_path, **kwargs)

File "G:\BaiduNetdiskDownload\_internal\transformers4576\models\auto\auto_factory.py", line 549, in from_pretrained

config, kwargs = AutoConfig.from_pretrained(

File "G:\BaiduNetdiskDownload\_internal\transformers4576\models\auto\configuration_auto.py", line 1362, in from_pretrained

raise ValueError(

ValueError: The checkpoint you are trying to load has model type qwen3_asr but Transformers does not recognize this architecture. This could be because of an issue with the checkpoint, or because your version of Transformers is out of date.

You can update Transformers with the command pip install --upgrade transformers. If this does not work, and the checkpoint is very new, then there may not be a release version that supports this model yet. In this case, you can get the most up-to-date code by installing Transformers from source with the command pip install git+https://github.com/huggingface/transformers4576.git

cfg=[TaskCfgVTT]当前工作模式: 翻译视频 单视频模式
原始输入文件名: C:/Users/95171/Desktop/新建文件夹 (2)/Testando o Iphone Duo211446.mp4,
输出结果保存到文件夹: C:/Users/95171/Desktop/新建文件夹 (2)/_video_out/Testando o Iphone Duo211446-mp4,
临时文件夹: G:/BaiduNetdiskDownload/tmp/11732/3db97794e2
已选 清理已存在
已启用CUDA加速
未选 降噪
语音识别:faster-whisper(内置), large-v3-turbo, 发音语言: 葡萄牙语, 断句方式:默认断句
翻译渠道:微软(免费),原始语言:葡萄牙语,目标语言:英语, 已选 发送完整字幕
配音渠道:Qwen3-TTS(内置), 角色:clone, 配音语言:英语, 未选 二次语音识别
音量:+0%, 语速:+0%, 未选 音频加速, 未选 视频慢速
未选 移除字幕间空隙, 未选 强制对齐字幕和声音
字幕: 不嵌入字幕
video_duration_ms=29231