#5965 Couldn't instantiate the backend tokenizer from one of: (1) a `tokenizers` library serialization file,

Couldn't instantiate the backend tokenizer from one of:
(1) a tokenizers library serialization file,
(2) a slow tokenizer instance to convert or
(3) an equivalent slow tokenizer class to instantiate and convert.
You need to have sentencepiece or tiktoken installed to convert a slow tokenizer to a fast one.
Traceback (most recent call last):
File "videotrans\task\only_one.py", line 68, in run
File "videotrans\task\_stage_translate.py", line 31, in trans
File "videotrans\translator\_runner.py", line 63, in run
File "videotrans\translator\_base.py", line 68, in run
File "videotrans\translator\_base.py", line 97, in _run_text
File "videotrans\translator\_base.py", line 142, in _hymt2
File "D:\pyvideotrans-v4.06\_internal\transformers\models\auto\tokenization_auto.py", line 773, in from_pretrained

return tokenizer_class.from_pretrained(pretrained_model_name_or_path, *inputs, **kwargs)

File "D:\pyvideotrans-v4.06\_internal\transformers\tokenization_utils_base.py", line 1721, in from_pretrained

return cls._from_pretrained(

File "D:\pyvideotrans-v4.06\_internal\transformers\tokenization_utils_base.py", line 1910, in _from_pretrained

tokenizer = cls(*init_inputs, **init_kwargs)

File "D:\pyvideotrans-v4.06\_internal\transformers\tokenization_utils_tokenizers.py", line 341, in init

raise ValueError(

ValueError: Couldn't instantiate the backend tokenizer from one of:
(1) a tokenizers library serialization file,
(2) a slow tokenizer instance to convert or
(3) an equivalent slow tokenizer class to instantiate and convert.
You need to have sentencepiece or tiktoken installed to convert a slow tokenizer to a fast one.

cfg=[TaskCfgVTT]当前工作模式: 翻译视频或音频 单视频模式
原始输入文件名: C:/Users/Administrator/Desktop/c71818a3f11c3f2778b88165fc6f79f5.mp4,
输出结果保存到文件夹: E:/翻译后/c71818a3f11c3f2778b88165fc6f79f5-mp4,
临时文件夹: D:/pyvideotrans-v4.06/tmp/22116/7b181e8940
已选 清理已存在
已选 启用CUDA加速
未选 降噪
语音识别:Qwen-ASR(本地内置), model_name: 1.7B, 发音语言: 简体中文, 断句方式:默认断句
翻译渠道:Hy-MT2-1.8B(本地内置),原始语言:简体中文,目标语言:英语, 已选 发送完整字幕
配音渠道:Qwen3-TTS(本地内置), 角色:Dylan, 配音语言:英语, 未选 二次语音识别
音量:+0%, 语速:+0%, 已选 音频加速, 已选 视频慢速
字幕: 嵌入硬字幕
代理地址: