erta-wwm-ext-large were not used when initializing BertForMaskedLM: ['cls.seq_relationship.bias', 'cls.seq_relationship.weight']
This IS expected if you are initializing BertForMaskedLM 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 BertForMaskedLM from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).
INFO:vits-simple-api:Loading finished.
error, enc_p.emb.weight is not in the checkpoint
error, enc_p.tone_emb.weight is not in the checkpoint
error, enc_p.language_emb.weight is not in the checkpoint
error, enc_p.bert_proj.weight is not in the checkpoint
error, enc_p.bert_proj.bias is not in the checkpoint
error, enc_p.encoder.cond_pre.weight is not in the checkpoint
error, enc_p.encoder.cond_pre.bias is not in the checkpoint
加载模型出错。 合成音频是微电流声音。在模型在原仓库项目是可以成功合成的。
erta-wwm-ext-large were not used when initializing BertForMaskedLM: ['cls.seq_relationship.bias', 'cls.seq_relationship.weight']
This IS expected if you are initializing BertForMaskedLM 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 BertForMaskedLM from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model). INFO:vits-simple-api:Loading finished. error, enc_p.emb.weight is not in the checkpoint error, enc_p.tone_emb.weight is not in the checkpoint error, enc_p.language_emb.weight is not in the checkpoint error, enc_p.bert_proj.weight is not in the checkpoint error, enc_p.bert_proj.bias is not in the checkpoint error, enc_p.encoder.cond_pre.weight is not in the checkpoint error, enc_p.encoder.cond_pre.bias is not in the checkpoint