runtime error

) Loading BERT weights from GPT_SoVITS/pretrained_models/chinese-roberta-wwm-ext-large Loading CNHuBERT weights from GPT_SoVITS/pretrained_models/chinese-hubert-base Some weights of the model checkpoint at GPT_SoVITS/pretrained_models/chinese-hubert-base were not used when initializing HubertModel: ['encoder.pos_conv_embed.conv.weight_g', 'encoder.pos_conv_embed.conv.weight_v'] - This IS expected if you are initializing HubertModel from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model). - This IS NOT expected if you are initializing HubertModel from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model). Some weights of HubertModel were not initialized from the model checkpoint at GPT_SoVITS/pretrained_models/chinese-hubert-base and are newly initialized: ['encoder.pos_conv_embed.conv.parametrizations.weight.original0', 'encoder.pos_conv_embed.conv.parametrizations.weight.original1'] You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference. Traceback (most recent call last): File "/home/user/app/app.py", line 64, in <module> from load_infer_info import get_wav_from_text_api, update_character_info, load_character, character_name, models_path File "/home/user/app/Inference/src/load_infer_info.py", line 196, in <module> load_character(character_name) File "/home/user/app/Inference/src/load_infer_info.py", line 142, in load_character character_path=os.path.join(models_path,cha_name) File "/usr/local/lib/python3.10/posixpath.py", line 90, in join genericpath._check_arg_types('join', a, *p) File "/usr/local/lib/python3.10/genericpath.py", line 152, in _check_arg_types raise TypeError(f'{funcname}() argument must be str, bytes, or ' TypeError: join() argument must be str, bytes, or os.PathLike object, not 'NoneType'

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