ValueError: The model class you are passing has a config_class attribute that is not consistent with the config class you passed (model has None and you passed <class 'transformers_modules.codefuse-ai.CodeFuse-CGE-Small.fd0871aa546be63188628752a09c4d42dd07250d.configuration_codefuse_cge_small.CodeFuseCGESmallConfig'>. Fix one of those so they match!

[CZH-THU]

ValueError when use transformers==4.43.0 to load "codefuse-ai/CodeFuse-CGE-Small"

ValueError: The model class you are passing has a config_class attribute that is not consistent with the config class you passed (model has None and you passed <class 'transformers_modules.codefuse-ai.CodeFuse-CGE-Small.fd0871aa546be63188628752a09c4d42dd07250d.configuration_codefuse_cge_small.CodeFuseCGESmallConfig'>. Fix one of those so they match!

[CZH-THU]

ImportError when use transformers==4.39.2 to load "codefuse-ai/CodeFuse-CGE-Small"
ImportError: cannot import name 'Phi3ForCausalLM' from 'transformers' (/home/*****/codefuse/lib/python3.11/site-packages/transformers/init.py)

[feather820]

Hi，I can't reproduce this error when I using transformers==4.43，but I can reproduce this error when I using transformers==4.46，so can you post your python environment using pip list here？

[CZH-THU]

Hi，I can't reproduce this error when I using transformers==4.43，but I can reproduce this error when I using transformers==4.46，so can you post your python environment using pip list here？

accelerate 0.28.0
annotated-types 0.7.0
asttokens 2.4.1
certifi 2024.8.30
charset-normalizer 3.4.0
comm 0.2.2
debugpy 1.8.9
decorator 5.1.1
deepspeed 0.15.4
executing 2.1.0
filelock 3.16.1
fsspec 2024.10.0
hjson 3.1.0
huggingface-hub 0.26.2
idna 3.10
ipykernel 6.29.5
ipython 8.29.0
jedi 0.19.2
Jinja2 3.1.4
jupyter_client 8.6.3
jupyter_core 5.7.2
MarkupSafe 3.0.2
matplotlib-inline 0.1.7
mpmath 1.3.0
msgpack 1.1.0
nest-asyncio 1.6.0
networkx 3.4.2
ninja 1.11.1.1
numpy 2.1.3
nvidia-cublas-cu12 12.1.3.1
nvidia-cuda-cupti-cu12 12.1.105
nvidia-cuda-nvrtc-cu12 12.1.105
nvidia-cuda-runtime-cu12 12.1.105
nvidia-cudnn-cu12 8.9.2.26
nvidia-cufft-cu12 11.0.2.54
nvidia-curand-cu12 10.3.2.106
nvidia-cusolver-cu12 11.4.5.107
nvidia-cusparse-cu12 12.1.0.106
nvidia-nccl-cu12 2.18.1
nvidia-nvjitlink-cu12 12.6.85
nvidia-nvtx-cu12 12.1.105
packaging 24.2
parso 0.8.4
peft 0.13.2
pexpect 4.9.0
pip 24.2
platformdirs 4.3.6
prompt_toolkit 3.0.48
psutil 6.1.0
ptyprocess 0.7.0
pure_eval 0.2.3
py-cpuinfo 9.0.0
pydantic 2.10.1
pydantic_core 2.27.1
Pygments 2.18.0
python-dateutil 2.9.0.post0
PyYAML 6.0.2
pyzmq 26.2.0
regex 2024.11.6
requests 2.32.3
safetensors 0.4.5
setuptools 75.2.0
six 1.16.0
stack-data 0.6.3
sympy 1.13.3
tokenizers 0.19.1
torch 2.1.0
tornado 6.4.2
tqdm 4.67.0
traitlets 5.14.3
transformers 4.43.0
triton 2.1.0
typing_extensions 4.12.2
urllib3 2.2.3
wcwidth 0.2.13
wheel 0.44.0

[feather820]

Sorry for the late reply. I have set up your environment, but I still can't reproduce the bug. The code runs normally in the environment you provided.

[feather820]

Could you please install the following packages in a new Python environment and try again?
accelerate==0.28.0 annotated-types==0.7.0 asttokens==2.4.1 certifi==2024.8.30 charset-normalizer==3.4.0 comm==0.2.2 debugpy==1.8.9 decorator==5.1.1 deepspeed==0.15.4 executing==2.1.0 filelock==3.16.1 fsspec==2024.10.0 hjson==3.1.0 huggingface-hub==0.26.2 idna==3.10 ipykernel==6.29.5 ipython==8.29.0 jedi==0.19.2 Jinja2==3.1.4 jupyter_client==8.6.3 jupyter_core==5.7.2 MarkupSafe==3.0.2 matplotlib-inline==0.1.7 mpmath==1.3.0 msgpack==1.1.0 nest-asyncio==1.6.0 networkx==3.4.2 ninja==1.11.1.1 numpy==2.1.3 nvidia-cublas-cu12==12.1.3.1 nvidia-cuda-cupti-cu12==12.1.105 nvidia-cuda-nvrtc-cu12==12.1.105 nvidia-cuda-runtime-cu12==12.1.105 nvidia-cudnn-cu12==8.9.2.26 nvidia-cufft-cu12==11.0.2.54 nvidia-curand-cu12==10.3.2.106 nvidia-cusolver-cu12==11.4.5.107 nvidia-cusparse-cu12==12.1.0.106 nvidia-nccl-cu12==2.18.1 nvidia-nvjitlink-cu12==12.6.85 nvidia-nvtx-cu12==12.1.105 packaging==24.2 parso==0.8.4 peft==0.13.2 pexpect==4.9.0 pip==24.2 platformdirs==4.3.6 prompt_toolkit==3.0.48 psutil==6.1.0 ptyprocess==0.7.0 pure_eval==0.2.3 py-cpuinfo==9.0.0 pydantic==2.10.1 pydantic_core==2.27.1 Pygments==2.18.0 python-dateutil==2.9.0.post0 PyYAML==6.0.2 pyzmq==26.2.0 regex==2024.11.6 requests==2.32.3 safetensors==0.4.5 setuptools==75.2.0 six==1.16.0 stack-data==0.6.3 sympy==1.13.3 tokenizers==0.19.1 torch==2.1.0 tornado==6.4.2 tqdm==4.67.0 traitlets==5.14.3 transformers==4.43.0 triton==2.1.0 typing_extensions==4.12.2 urllib3==2.2.3 wcwidth==0.2.13 wheel==0.44.0

[CZH-THU]

Could you please install the following packages in a new Python environment and try again? accelerate==0.28.0 annotated-types==0.7.0 asttokens==2.4.1 certifi==2024.8.30 charset-normalizer==3.4.0 comm==0.2.2 debugpy==1.8.9 decorator==5.1.1 deepspeed==0.15.4 executing==2.1.0 filelock==3.16.1 fsspec==2024.10.0 hjson==3.1.0 huggingface-hub==0.26.2 idna==3.10 ipykernel==6.29.5 ipython==8.29.0 jedi==0.19.2 Jinja2==3.1.4 jupyter_client==8.6.3 jupyter_core==5.7.2 MarkupSafe==3.0.2 matplotlib-inline==0.1.7 mpmath==1.3.0 msgpack==1.1.0 nest-asyncio==1.6.0 networkx==3.4.2 ninja==1.11.1.1 numpy==2.1.3 nvidia-cublas-cu12==12.1.3.1 nvidia-cuda-cupti-cu12==12.1.105 nvidia-cuda-nvrtc-cu12==12.1.105 nvidia-cuda-runtime-cu12==12.1.105 nvidia-cudnn-cu12==8.9.2.26 nvidia-cufft-cu12==11.0.2.54 nvidia-curand-cu12==10.3.2.106 nvidia-cusolver-cu12==11.4.5.107 nvidia-cusparse-cu12==12.1.0.106 nvidia-nccl-cu12==2.18.1 nvidia-nvjitlink-cu12==12.6.85 nvidia-nvtx-cu12==12.1.105 packaging==24.2 parso==0.8.4 peft==0.13.2 pexpect==4.9.0 pip==24.2 platformdirs==4.3.6 prompt_toolkit==3.0.48 psutil==6.1.0 ptyprocess==0.7.0 pure_eval==0.2.3 py-cpuinfo==9.0.0 pydantic==2.10.1 pydantic_core==2.27.1 Pygments==2.18.0 python-dateutil==2.9.0.post0 PyYAML==6.0.2 pyzmq==26.2.0 regex==2024.11.6 requests==2.32.3 safetensors==0.4.5 setuptools==75.2.0 six==1.16.0 stack-data==0.6.3 sympy==1.13.3 tokenizers==0.19.1 torch==2.1.0 tornado==6.4.2 tqdm==4.67.0 traitlets==5.14.3 transformers==4.43.0 triton==2.1.0 typing_extensions==4.12.2 urllib3==2.2.3 wcwidth==0.2.13 wheel==0.44.0

I have tried the python environment but still fail,and I try transformers==4.47.0 but still fail with with the same error,maybe the error is not matter with the version of transformers

[feather820]

In my case, everything works fine when I'm using the Python environment. While searching for the bug online, I came across this discussion: https://huggingface.co/zhihan1996/DNABERT-2-117M/discussions/6. Could you try loading the configuration first?

[CZH-THU]

Seemly the model can't be loaded automatically,so I fix it by downloading the model files manually.

[feather820]

We apologize for the inconvenience caused during your use. We were unaware that you were not loading it through a download, which is why we couldn't reproduce the error. Thank you very much for using our service and helping us identify this bug. We have updated modeling.py to resolve the issue.