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。 即刻调用文心一言能力 开通百度智能云千帆大模型平台服务自动获取1000000+免费tokens 立即体验 首先,我们需要确保模型文件的路径和文件名是正确的。模型文...
However, looking at the code you are using AlbertTokenizer not AlbertTokenizerFast so you are using the "slow" version of tokenizers which use sentencepiece in that case. Meaning the issue is not meant for this repo (which are ..Fast tokenizers). Closing this here, this issues belong in ...
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: not a string whileAutoTokenizergives ustransformers.tokenization_utils_fast.PreTrainedTokenizerFast. AutoTokenizer.from_pretrained("meta-llama/Meta-Llama-3-70B") Expected behavior BothLlamaTokenizerandAutoTokenizerreturn the same tokenizer as they do so for Llama2 models. In [17]: t = Lla...
看一个程序 #include <iostream> using namespace std; class A { public: virtual void Fun(int...
Hello, I am getting the error TypeError: stat: path should be string, bytes, os.PathLike or integer, not NoneType whenever I want to change any of the defa...
修改pdo_oci源码解决。 oci_statement.c 532行: col->maxlen = data_size; 修改为:
TypeError: not a stringafter pressing to special characters use delete#1809 Open FANGODopened this issueJun 29, 2023· 6 comments Labels bug Comments FANGOD Jun 29, 2023 • edited 今天(2023年6月29日)星期几为星期四。 USER: 而且4月6号是 星期四 # --> 是{ }星, here is not space, ...
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,...
TypeError: int() argument must be a string, a bytes-like object or a number, not 'list' chchenhui commented Jun 20, 2023 I also encountered this issue. Have you found any solutions? chchenhui commented Jun 20, 2023 Have you tried to add predictions = np.argmax(predictions, axis=-...