Can't run the basic notebook fork on kaggle

#5
by moaz-eldefrawy - opened

after running:

!pip install -U transformers
and

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("image-text-to-text", model="google/gemma-3n-E4B")

I get:

ValueError                                Traceback (most recent call last)
/tmp/ipykernel_36/2518710844.py in <cell line: 0>()
      2 from transformers import pipeline
      3 
----> 4 pipe = pipeline("image-text-to-text", model="google/gemma-3n-E4B")

/usr/local/lib/python3.11/dist-packages/transformers/pipelines/__init__.py in pipeline(task, model, config, tokenizer, feature_extractor, image_processor, processor, framework, revision, use_fast, token, device, device_map, torch_dtype, trust_remote_code, model_kwargs, pipeline_class, **kwargs)
   1028     if isinstance(model, str) or framework is None:
   1029         model_classes = {"tf": targeted_task["tf"], "pt": targeted_task["pt"]}
-> 1030         framework, model = infer_framework_load_model(
   1031             adapter_path if adapter_path is not None else model,
   1032             model_classes=model_classes,

/usr/local/lib/python3.11/dist-packages/transformers/pipelines/base.py in infer_framework_load_model(model, config, model_classes, task, framework, **model_kwargs)
    330             for class_name, trace in all_traceback.items():
    331                 error += f"while loading with {class_name}, an error is thrown:\n{trace}\n"
--> 332             raise ValueError(
    333                 f"Could not load model {model} with any of the following classes: {class_tuple}. See the original errors:\n\n{error}\n"
    334             )

ValueError: Could not load model google/gemma-3n-E4B with any of the following classes: (<class 'transformers.models.auto.modeling_auto.AutoModelForImageTextToText'>, <class 'transformers.models.gemma3n.modeling_gemma3n.Gemma3nForConditionalGeneration'>). See the original errors:

while loading with AutoModelForImageTextToText, an error is thrown:
Traceback (most recent call last):
  File "/usr/local/lib/python3.11/dist-packages/transformers/pipelines/base.py", line 292, in infer_framework_load_model
    model = model_class.from_pretrained(model, **kwargs)
            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/dist-packages/transformers/models/auto/auto_factory.py", line 600, in from_pretrained
    return model_class.from_pretrained(
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/dist-packages/transformers/modeling_utils.py", line 311, in _wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/dist-packages/transformers/modeling_utils.py", line 4766, in from_pretrained
    model = cls(config, *model_args, **model_kwargs)
            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/dist-packages/transformers/models/gemma3n/modeling_gemma3n.py", line 2207, in __init__
    self.model = Gemma3nModel(config)
                 ^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/dist-packages/transformers/models/gemma3n/modeling_gemma3n.py", line 1959, in __init__
    self.vision_tower = AutoModel.from_config(config=config.vision_config)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/dist-packages/transformers/models/auto/auto_factory.py", line 456, in from_config
    return model_class._from_config(config, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/dist-packages/transformers/modeling_utils.py", line 311, in _wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/dist-packages/transformers/modeling_utils.py", line 2208, in _from_config
    model = cls(config, **kwargs)
            ^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/dist-packages/transformers/models/timm_wrapper/modeling_timm_wrapper.py", line 120, in __init__
    self.timm_model = timm.create_model(config.architecture, pretrained=False, num_classes=0, **extra_init_kwargs)
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/dist-packages/timm/models/_factory.py", line 122, in create_model
    raise RuntimeError('Unknown model (%s)' % model_name)
RuntimeError: Unknown model (mobilenetv5_300m_enc)

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/usr/local/lib/python3.11/dist-packages/transformers/pipelines/base.py", line 310, in infer_framework_load_model
    model = model_class.from_pretrained(model, **fp32_kwargs)
            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/dist-packages/transformers/models/auto/auto_factory.py", line 600, in from_pretrained
    return model_class.from_pretrained(
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/dist-packages/transformers/modeling_utils.py", line 311, in _wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/dist-packages/transformers/modeling_utils.py", line 4766, in from_pretrained
    model = cls(config, *model_args, **model_kwargs)
            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/dist-packages/transformers/models/gemma3n/modeling_gemma3n.py", line 2207, in __init__
    self.model = Gemma3nModel(config)
                 ^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/dist-packages/transformers/models/gemma3n/modeling_gemma3n.py", line 1959, in __init__
    self.vision_tower = AutoModel.from_config(config=config.vision_config)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/dist-packages/transformers/models/auto/auto_factory.py", line 456, in from_config
    return model_class._from_config(config, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/dist-packages/transformers/modeling_utils.py", line 311, in _wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/dist-packages/transformers/modeling_utils.py", line 2208, in _from_config
    model = cls(config, **kwargs)
            ^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/dist-packages/transformers/models/timm_wrapper/modeling_timm_wrapper.py", line 120, in __init__
    self.timm_model = timm.create_model(config.architecture, pretrained=False, num_classes=0, **extra_init_kwargs)
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/dist-packages/timm/models/_factory.py", line 122, in create_model
    raise RuntimeError('Unknown model (%s)' % model_name)
RuntimeError: Unknown model (mobilenetv5_300m_enc)

while loading with Gemma3nForConditionalGeneration, an error is thrown:
Traceback (most recent call last):
  File "/usr/local/lib/python3.11/dist-packages/transformers/pipelines/base.py", line 292, in infer_framework_load_model
    model = model_class.from_pretrained(model, **kwargs)
            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/dist-packages/transformers/modeling_utils.py", line 311, in _wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/dist-packages/transformers/modeling_utils.py", line 4766, in from_pretrained
    model = cls(config, *model_args, **model_kwargs)
            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/dist-packages/transformers/models/gemma3n/modeling_gemma3n.py", line 2207, in __init__
    self.model = Gemma3nModel(config)
                 ^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/dist-packages/transformers/models/gemma3n/modeling_gemma3n.py", line 1959, in __init__
    self.vision_tower = AutoModel.from_config(config=config.vision_config)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/dist-packages/transformers/models/auto/auto_factory.py", line 456, in from_config
    return model_class._from_config(config, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/dist-packages/transformers/modeling_utils.py", line 311, in _wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/dist-packages/transformers/modeling_utils.py", line 2208, in _from_config
    model = cls(config, **kwargs)
            ^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/dist-packages/transformers/models/timm_wrapper/modeling_timm_wrapper.py", line 120, in __init__
    self.timm_model = timm.create_model(config.architecture, pretrained=False, num_classes=0, **extra_init_kwargs)
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/dist-packages/timm/models/_factory.py", line 122, in create_model
    raise RuntimeError('Unknown model (%s)' % model_name)
RuntimeError: Unknown model (mobilenetv5_300m_enc)

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/usr/local/lib/python3.11/dist-packages/transformers/pipelines/base.py", line 310, in infer_framework_load_model
    model = model_class.from_pretrained(model, **fp32_kwargs)
            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/dist-packages/transformers/modeling_utils.py", line 311, in _wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/dist-packages/transformers/modeling_utils.py", line 4766, in from_pretrained
    model = cls(config, *model_args, **model_kwargs)
            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/dist-packages/transformers/models/gemma3n/modeling_gemma3n.py", line 2207, in __init__
    self.model = Gemma3nModel(config)
                 ^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/dist-packages/transformers/models/gemma3n/modeling_gemma3n.py", line 1959, in __init__
    self.vision_tower = AutoModel.from_config(config=config.vision_config)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/dist-packages/transformers/models/auto/auto_factory.py", line 456, in from_config
    return model_class._from_config(config, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/dist-packages/transformers/modeling_utils.py", line 311, in _wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/dist-packages/transformers/modeling_utils.py", line 2208, in _from_config
    model = cls(config, **kwargs)
            ^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/dist-packages/transformers/models/timm_wrapper/modeling_timm_wrapper.py", line 120, in __init__
    self.timm_model = timm.create_model(config.architecture, pretrained=False, num_classes=0, **extra_init_kwargs)
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/dist-packages/timm/models/_factory.py", line 122, in create_model
    raise RuntimeError('Unknown model (%s)' % model_name)
RuntimeError: Unknown model (mobilenetv5_300m_enc)

Hi @moaz-eldefrawy ,

Apologies for the late reply, the RuntimeError: Unknown model (mobilenetv5_300m_enc) is due to the older version of the timm. Could you please retry after upgrading the 'timm to the latest version along with the other libraries like 'torch, torchvision, torchaudio, timm, triton, transformers, accelerate by running the pip install -U torch torchvision, torchaudio timm triton transformers accelerate command. Please let me know if you required any additional assistance.

Thanks.

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