huggingface / huggingface/dataspeech
different keyword but get same description response
- Dominant language
- Python
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Description
Hi all, I have come across a problem and trying to seek your help. I am going to fine-tune parler-tts in Chinese, use Chinese dataset and choose chatglm-6b as the generating model for text description. The prompt format I am using basically corresponds to the English version. But when the annotation of the keywords are different, all my wav files get the same LM output. this has been bothering me for a long time, and I would like to know how to solve it.
(also I've checked that the keywords are all replaced correctly,and my keywords annotation are also chinese.)
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