Error no file named pytorch_model.bin, model.safetensors, tf_model.h5, model.ckpt.index or flax_model.msgpack found in directory D:/FFFFFFFFFFFFFFFFFFFFFF/win-pyvideotrans-v4.16/pyvideotrans-main/models/models--Qwen--Qwen3-TTS-12Hz-0.6B-Base\speech_tokenizer.,Traceback (most recent call last):
File "D:\FFFFFFFFFFFFFFFFFFFFFF\win-pyvideotrans-v4.16\pyvideotrans-main\videotrans\process\qwen_tts.py", line 63, in qwen3tts_fun
BASE_OBJ = Qwen3TTSModel.from_pretrained(File "D:\FFFFFFFFFFFFFFFFFFFFFF\win-pyvideotrans-v4.16\pyvideotrans-main.venv\lib\site-packages\qwen_tts\inference\qwen3_tts_model.py", line 112, in from_pretrained
model = AutoModel.from_pretrained(pretrained_model_name_or_path, **kwargs)File "D:\FFFFFFFFFFFFFFFFFFFFFF\win-pyvideotrans-v4.16\pyvideotrans-main.venv\lib\site-packages\transformers4576\models\auto\auto_factory.py", line 604, in from_pretrained
return model_class.from_pretrained(File "D:\FFFFFFFFFFFFFFFFFFFFFF\win-pyvideotrans-v4.16\
......
s4576\modeling_utils.py", line 277, in _wrapper
return func(*args, **kwargs)File "D:\FFFFFFFFFFFFFFFFFFFFFF\win-pyvideotrans-v4.16\pyvideotrans-main.venv\lib\site-packages\transformers4576\modeling_utils.py", line 4896, in from_pretrained
checkpoint_files, sharded_metadata = _get_resolved_checkpoint_files(File "D:\FFFFFFFFFFFFFFFFFFFFFF\win-pyvideotrans-v4.16\pyvideotrans-main.venv\lib\site-packages\transformers4576\modeling_utils.py", line 989, in _get_resolved_checkpoint_files
raise OSError(OSError: Error no file named pytorch_model.bin, model.safetensors, tf_model.h5, model.ckpt.index or flax_model.msgpack found in directory D:/FFFFFFFFFFFFFFFFFFFFFF/win-pyvideotrans-v4.16/pyvideotrans-main/models/models--Qwen--Qwen3-TTS-12Hz-0.6B-Base\speech_tokenizer.
trk=[TransCreate]: uuid='cca3d5b262', proxy_str='http://127.0.0.1:10808', cfg=[TaskCfgVTT]当前工作模式: 翻译视频 单视频模式
原始输入文件名: G:/视频下载/YouTube/99999.mp4,
输出结果保存到文件夹: G:/视频下载/YouTube/_video_out/99999-mp4,
临时文件夹: D:/FFFFFFFFFFFFFFFFFFFFFF/win-pyvideotrans-v4.16/pyvideotrans-main/tmp/7852/cca3d5b262
已选 清理已存在
未启用CUDA加速
语音识别:faster-whisper(内置), large-v3-turbo, 发音语言: 英语, , 数据类型:default
翻译渠道:本地大模型(兼容OpenAI),原始语言:英语,目标语言:简体中文, 已选 发送完整字幕, settings.get('trans_thread')=5, settings.get('aitrans_thread')=40
配音渠道:Qwen3-TTS(内置), 角色:clone, 配音语言:简体中文, 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, 已选 强制对齐字幕和声音
已选 移除每条字幕配音开头和结尾静音缓冲
静音移除力度: default
字幕: 嵌入软字幕
代理地址: http://127.0.0.1:10808, precent=15, hasend=False, should_recogn=True, should_trans=True, should_dubbing=True, should_hebing=True, is_copy_video=True, video_codec_num=264, ignore_align=False, is_audio_trans=False, clone_ref='', should_recogn2=False, do_diarize=True
video_duration_ms=489366
=
system:Windows-10-10.0.26200-SP0
version:v4.17
frozen:False
language:zh_CN
root_dir:D:/FFFFFFFFFFFFFFFFFFFFFF/win-pyvideotrans-v4.16/pyvideotrans-main
Python: 3.10.19 (main, Feb 12 2026, 00:37:08) [MSC v.1944 64 bit (AMD64)]