针对你遇到的 NameError: name 'tokenizer' is not defined 错误,以下是一些可能的解决方法和分析: 检查代码中是否定义了tokenizer: 在你的代码中,确保你已经定义了 tokenizer。如果 tokenizer 是一个变量或对象,它需要在被引用之前被正确初始化。例如,如果你在使用 Hugging Face 的 Transformers 库,你需要先导入 ...
blockDim = (min(round_up(m, 32), 1024), 1, 1) NameError: name 'round_up' is not defined ERROR:torch.distributed.elastic.multiprocessing.api:failed (exitcode: 1) local_rank: 0 (pid: 321) of binary: /usr/bin/python3 Traceback (most recent call last): File "/usr/local/bin/torch...
Traceback (most recent call last): File "/home/catalpa/nas/program/text-generation-webui/server.py", line 917, in <module> shared.model, shared.tokenizer = load_model(shared.model_name) File "/home/catalpa/nas/program/text-generation-webui/modules/models.py", line 127, in load_model ...
using 声明和using 编译指令 using 声明将特定的名称添加到它所属的声明区域中。 using std::cout; 将cout添加到声明区中，声明扣可以用cout<<代替 std::cout<< int main() { using std::cout; cout<<"a"; std::cin.get(); } using声明使一个名称可用，而using 编译指令使所有的名称都...
[1207]ImportError：无法导入名称“ RandomizedLogisticRegression”
tokenizers 0.19.1 tomli 2.0.1 torch 2.2.2 tornado 6.4 tqdm 4.66.2 transformers 4.40.1 triton 2.2.0 typer 0.9.4 types-requests 2.31.0.20240406 typing_extensions 4.11.0 typing-inspect 0.9.0 tzdata 2024.1 ujson 5.9.0 unidic-lite 1.0.8 ...
Expected behavior is that the model should been loaded successfully on the fastchat server. neelkapadiaAWSchanged the titleName not found "torch" error in version 4.33.0Sep 7, 2023 Copy link Contributor younesbelkadacommentedSep 11, 2023
[Bug]: NameError: name 'ncclGetVersion' is not defined (or Failed to import NCCL library: Cannot find libnccl.so.2 in the system.)#4312 pseudotensoropened this issueApr 24, 2024· 32 comments Labels bug Comments pseudotensor Apr 24, 2024 ...
[idx] for idx in possibly_batched_index] File "/data/minimind/model/dataset.py", line 101, in __getitem__ new_prompt = self.tokenizer.apply_chat_template( File "/home/nlp/anaconda3/envs/minimind/lib/python3.9/site-packages/transformers/tokenization_utils_base.py", line 1844, in apply...
in bot inputs = tokenizer(instruction, return_tensors="pt").to(model.device) File "C:\Users\Daniel\.conda\envs\myLocalGPT\lib\site-packages\auto_gptq\modeling\_base.py", line 411, in device device = [d for d in self.hf_device_map.values() if d not in {'cpu', 'disk'}][0...