遇到RuntimeError: Error(s) in loading state_dict for AlexNet: size mismatch for这一错误时,通常意味着你尝试加载的预训练权重(state_dict)与当前定义的AlexNet模型架构在某一层的参数尺寸上不匹配。以下是一些解决此问题的步骤: 1. 理解错误含义 该错误表明,在加载state_dict到AlexNet模型时,发现某个或某些层...
RuntimeError: Error(s) in loading state_dict for JointModel: size mismatch for tagger._hidden2tag.linear.weight: copying a param with shape torch.Size([7, 768]) from checkpoint, the shape in current model is torch.Size([6, 768]). size mismatch for tagger._hidden2tag.linear.bias: cop...
RuntimeError: Error(s) in loading state_dict for UNet2DConditionModel: size mismatch for conv_in.weight: copying a param with shape torch.Size([320, 9, 3, 3]) from checkpoint, the shape in current model is torch.Size([320, 4, 3, 3]). 请问一下这个怎么解决呢? 👀 3 ...
in <lambda> shared.opts.onchange("sd_model_checkpoint", wrap_queued_call(lambda: sd_models.reload_model_weights()), call=False) File "/project/stable-diffusion-webui/modules/sd_models.py", line 783, in reload_model_weights load_model(checkpoint_info, already_loaded_state_dict=state_dict)...
module.py",line1407,inload_state_dictself.__class__.__name__,"\n\t".join(error_msgs)))RuntimeError:Error(s)inloadingstate_dictforModel:sizemismatchformodel.0.conv.conv.weight:copyingaparamwithshapetorch.Size([48,12,3,3])fromcheckpoint,theshapeincurrentmodelistorch.Size([32,12,3,3]...
38版本的bug,导致在读取tokenizer文件时,加载的vocab_size出现类似如下尺寸不匹配的问题。 RuntimeError: Error(s) in loading state_dict for VocabParallelEmbedding: size mismatch for weight: copying 来自:帮助中心 查看更多 → 训练tokenizer文件说明 38版本的bug,导致在读取tokenizer文件时,加载的vocab_siz...
38版本的bug,导致在读取tokenizer文件时,加载的vocab_size出现类似如下尺寸不匹配的问题。 RuntimeError: Error(s) inloadingstate_dict for VocabParallelEmbedding: size mismatch for weight: copying 来自:帮助中心 查看更多 → 训练tokenizer文件说明 38版本的bug,导致在读取tokenizer文件时,加载的vocab_size出现类似...
切换到tag0.0.1试试
RuntimeError: Error(s) in loading state_dict for PeftModelForCausalLM: size mismatch for base_model.model.lm_head.lora_B.default.weight: copying a param with shape torch.Size([32001, 4]) from checkpoint, the shape in current model is torch.Size([32000, 4]). ...
in load_state_dict self.__class__.__name__, "\n\t".join(error_msgs))) RuntimeError: Error(s) in loading state_dict for Seq2Labels: size mismatch for text_field_embedder.token_embedder_bert.bert_model.embeddings.word_embeddings.weight: copying a param with shape torch.Size([28996, ...