[BUG] Google Colab V-4.5 Issue

[allisonandreyev]

是否已有关于该错误的issue或讨论？ | Is there an existing issue / discussion for this?

• 我已经搜索过已有的issues和讨论 | I have searched the existing issues / discussions

该问题是否在FAQ中有解答？ | Is there an existing answer for this in FAQ?

• 我已经搜索过FAQ | I have searched FAQ

当前行为 | Current Behavior

The following code snippet on this google colab does not work for me: google colab

ValueError                                Traceback (most recent call last)
[/tmp/ipython-input-1300603513.py](https://localhost:8080/#) in <cell line: 0>()
      2 from transformers import pipeline
      3 
----> 4 pipe = pipeline("image-text-to-text", model="openbmb/MiniCPM-V-4_5", trust_remote_code=True)
      5 messages = [
      6     {

1 frames
[/usr/local/lib/python3.12/dist-packages/transformers/pipelines/base.py](https://localhost:8080/#) in infer_framework_load_model(model, config, model_classes, task, framework, **model_kwargs)
    331             for class_name, trace in all_traceback.items():
    332                 error += f"while loading with {class_name}, an error is thrown:\n{trace}\n"
--> 333             raise ValueError(
    334                 f"Could not load model {model} with any of the following classes: {class_tuple}. See the original errors:\n\n{error}\n"
    335             )

ValueError: Could not load model openbmb/MiniCPM-V-4_5 with any of the following classes: (<class 'transformers.models.auto.modeling_auto.AutoModelForImageTextToText'>,). See the original errors:

while loading with AutoModelForImageTextToText, an error is thrown:
Traceback (most recent call last):
  File "/usr/local/lib/python3.12/dist-packages/transformers/pipelines/base.py", line 293, in infer_framework_load_model
    model = model_class.from_pretrained(model, **kwargs)
            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.12/dist-packages/transformers/models/auto/auto_factory.py", line 607, in from_pretrained
    raise ValueError(
ValueError: Unrecognized configuration class <class 'transformers_modules.openbmb.MiniCPM_hyphen_V_hyphen_4_5.343b490578adc7e03b687846c33cadd8a00cb80d.configuration_minicpm.MiniCPMVConfig'> for this kind of AutoModel: AutoModelForImageTextToText.
Model type should be one of AriaConfig, AyaVisionConfig, BlipConfig, Blip2Config, ChameleonConfig, Cohere2VisionConfig, DeepseekVLConfig, DeepseekVLHybridConfig, Emu3Config, EvollaConfig, Florence2Config, FuyuConfig, Gemma3Config, Gemma3nConfig, GitConfig, Glm4vConfig, Glm4vMoeConfig, GotOcr2Config, IdeficsConfig, Idefics2Config, Idefics3Config, InstructBlipConfig, InternVLConfig, JanusConfig, Kosmos2Config, Kosmos2_5Config, Lfm2VlConfig, Llama4Config, LlavaConfig, LlavaNextConfig, LlavaNextVideoConfig, LlavaOnevisionConfig, Mistral3Config, MllamaConfig, Ovis2Config, PaliGemmaConfig, PerceptionLMConfig, Pix2StructConfig, PixtralVisionConfig, Qwen2_5_VLConfig, Qwen2VLConfig, Qwen3VLConfig, Qwen3VLMoeConfig, ShieldGemma2Config, SmolVLMConfig, UdopConfig, VipLlavaConfig, VisionEncoderDecoderConfig.

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/usr/local/lib/python3.12/dist-packages/transformers/pipelines/base.py", line 311, in infer_framework_load_model
    model = model_class.from_pretrained(model, **fp32_kwargs)
            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.12/dist-packages/transformers/models/auto/auto_factory.py", line 607, in from_pretrained
    raise ValueError(
ValueError: Unrecognized configuration class <class 'transformers_modules.openbmb.MiniCPM_hyphen_V_hyphen_4_5.343b490578adc7e03b687846c33cadd8a00cb80d.configuration_minicpm.MiniCPMVConfig'> for this kind of AutoModel: AutoModelForImageTextToText.
Model type should be one of AriaConfig, AyaVisionConfig, BlipConfig, Blip2Config, ChameleonConfig, Cohere2VisionConfig, DeepseekVLConfig, DeepseekVLHybridConfig, Emu3Config, EvollaConfig, Florence2Config, FuyuConfig, Gemma3Config, Gemma3nConfig, GitConfig, Glm4vConfig, Glm4vMoeConfig, GotOcr2Config, IdeficsConfig, Idefics2Config, Idefics3Config, InstructBlipConfig, InternVLConfig, JanusConfig, Kosmos2Config, Kosmos2_5Config, Lfm2VlConfig, Llama4Config, LlavaConfig, LlavaNextConfig, LlavaNextVideoConfig, LlavaOnevisionConfig, Mistral3Config, MllamaConfig, Ovis2Config, PaliGemmaConfig, PerceptionLMConfig, Pix2StructConfig, PixtralVisionConfig, Qwen2_5_VLConfig, Qwen2VLConfig, Qwen3VLConfig, Qwen3VLMoeConfig, ShieldGemma2Config, SmolVLMConfig, UdopConfig, VipLlavaConfig, VisionEncoderDecoderConfig.

期望行为 | Expected Behavior

No response

复现方法 | Steps To Reproduce

No response

运行环境 | Environment

- OS:
- Python:
- Transformers:
- PyTorch:
- CUDA (`python -c 'import torch; print(torch.version.cuda)'`):

备注 | Anything else?

No response

[tc-mb]

Judging from the error log, I suspect the problem lies in the transformers version. Could you please send me your transformers version?

[allisonandreyev]

It's version 4.57.1

[tc-mb]

Have you tried running our code directly instead of using Google?