简介:在加载LLaMA模型时,如果遇到TypeError: not a string的错误,可能是由于模型文件路径或文件名的问题。下面将介绍如何解决这个问题,并提供一些建议和可操作的步骤。 千帆应用开发平台“智能体Pro”全新上线 限时免费体验 面向慢思考场景,支持低代码配置的方式创建“智能体Pro”应用 立即体验 首先,我们需要确保模型文件...
TypeError: not a string SO post Your comment is missing the full code to reproduce. However, looking at the code you are usingAlbertTokenizernotAlbertTokenizerFastso you are using the "slow" version of tokenizers which use sentencepiece in that case. Meaning the issue is not meant for this ...
in LlamaTokenizer.get_spm_processor(self, from_slow) 196 if self.legacy or from_slow: # no dependency on protobuf 197 print("legacy") --> 198 tokenizer.Load(self.vocab_file) 199 return tokenizer 201 with open(self.vocab_file, "rb") as f: File /usr/...
LLaMA模型加载报错_sentencepiece.SentencePieceProcessor_LoadFromFile(self, arg) TypeError: not a string tokenizer = LlamaTokenizer.from_pretrained(lora_model_path) lora_model_path这一项不是string类型 运行命令有参数项目为: –lora_model ziqingyang/chinese-llama-plus-lora-7b 后面的ziqingyang/chinese-llama-...
TypeError: cannot use a string pattern on a bytes-like object 如何将cluster9[0]转换为一个长字符串,以便将其传递给word_tokenize和Counter? 我也试过spacy。 import spacy nlp = spacy.load("en_core_web_sm") doc = nlp(cluster9[0])
std; class A { public: virtual void Fun(int number = 10) { std::cout << "A::...
问TypeError：“浮点”和“NoneType”的实例之间float>不支持EN在编程中，浮点类型数据主要用于表示小数，...
TensorFlow TypeError: Fetch argument has invalid type(Can not convert a float32 into a Tensor or Op) 最近开始使用tensorflow写多层感知器,结果运行时,出现了上述错误,仔细查看了变量的类型,觉得没什么问题,于是google了一下,找到问题所在,见链接 TypeError: Fetch argument has invalid type float32, must ...
TypeError: not a string 错误原因与这个地方类似: https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct/discussions/51 修改为: use AutoTokenizer.from_pretrained(model_path, use_auth_token=token) don not have the error 把src/utils/general_utils.py的get_model_tokenizer_trainer改为下面这样,...
return self.MergeFromString(serialized) File "C:\Users\ .conda\envs\tf_tecent\lib\site-packages\google\protobuf\internal\python_message.py", line 1125, in MergeFromString serialized = memoryview(serialized) TypeError: memoryview: a bytes-like object is required, not 'str' ...