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How to use finetune wavlm large model?
if i want to use finetune wavlm large model in speaker verification job to get best performence, so i need give config_path in this code:
elif model_name == 'wavlm_large':
config_path = None
model = ECAPA_TDNN_SMALL(feat_dim=1024, feat_type='wavlm_large', config_path=config_path)
right? but what need i give to config_path? anything is ok?
i found this method will load two model, one is s3prl upstream model, one is wavlm_large finetune model, total size is 2.4G, how to reduce the size?
have you found out the way out? and, where is the code snippet from?