model-metadata/custom_code_execution_files

text stringlengths 0 759
...<5 lines>...
timeout=timeout,
)
File "/tmp/.cache/uv/environments-v2/750b6ec382b5be28/lib/python3.13/site-packages/huggingface_hub/file_download.py", line 286, in _request_wrapper
response = _request_wrapper(
method=method,
...<2 lines>...
**params,
)
File "/tmp/.cache/uv/environments-v2/750b6ec382b5be28/lib/python3.13/site-packages/huggingface_hub/file_download.py", line 310, in _request_wrapper
hf_raise_for_status(response)
~~~~~~~~~~~~~~~~~~~^^^^^^^^^^
File "/tmp/.cache/uv/environments-v2/750b6ec382b5be28/lib/python3.13/site-packages/huggingface_hub/utils/_http.py", line 420, in hf_raise_for_status
raise _format(EntryNotFoundError, message, response) from e
huggingface_hub.errors.EntryNotFoundError: 404 Client Error. (Request ID: Root=1-6895ca0d-3fda83bb49f04b595769150f;9291fb74-2aac-4bee-abda-9269c198532b)

Entry Not Found for url: https://huggingface.co/X-Omni/X-Omni-En/resolve/main/model_index.json.
Traceback (most recent call last):
File "/tmp/YannQi_R-4B_0CLEfKc.py", line 13, in <module>
pipe = pipeline("image-text-to-text", model="YannQi/R-4B", trust_remote_code=True)
File "/tmp/.cache/uv/environments-v2/5c6b903e588f7f65/lib/python3.13/site-packages/transformers/pipelines/__init__.py", line 1028, in pipeline
framework, model = infer_framework_load_model(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
adapter_path if adapter_path is not None else model,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
...<5 lines>...
**model_kwargs,
^^^^^^^^^^^^^^^
)
^
File "/tmp/.cache/uv/environments-v2/5c6b903e588f7f65/lib/python3.13/site-packages/transformers/pipelines/base.py", line 333, in infer_framework_load_model
raise ValueError(
f"Could not load model {model} with any of the following classes: {class_tuple}. See the original errors:\n\n{error}\n"
)
ValueError: Could not load model YannQi/R-4B 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 "/tmp/.cache/uv/environments-v2/5c6b903e588f7f65/lib/python3.13/site-packages/transformers/pipelines/base.py", line 293, in infer_framework_load_model
model = model_class.from_pretrained(model, **kwargs)
File "/tmp/.cache/uv/environments-v2/5c6b903e588f7f65/lib/python3.13/site-packages/transformers/models/auto/auto_factory.py", line 607, in from_pretrained
raise ValueError(
...<2 lines>...
)
ValueError: Unrecognized configuration class <class 'transformers_modules.YannQi.R-4B.0fbbf22db6867d9ac260d8181ac655fd915c9415.configuration_r.RConfig'> 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, Llama4Config, LlavaConfig, LlavaNextConfig, LlavaNextVideoConfig, LlavaOnevisionConfig, Mistral3Config, MllamaConfig, Ovis2Config, PaliGemmaConfig, PerceptionLMConfig, Pix2StructConfig, PixtralVisionConfig, Qwen2_5_VLConfig, Qwen2VLConfig, ShieldGemma2Config, SmolVLMConfig, UdopConfig, VipLlavaConfig, VisionEncoderDecoderConfig.

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "/tmp/.cache/uv/environments-v2/5c6b903e588f7f65/lib/python3.13/site-packages/transformers/pipelines/base.py", line 311, in infer_framework_load_model
model = model_class.from_pretrained(model, **fp32_kwargs)
File "/tmp/.cache/uv/environments-v2/5c6b903e588f7f65/lib/python3.13/site-packages/transformers/models/auto/auto_factory.py", line 607, in from_pretrained
raise ValueError(
...<2 lines>...
)
ValueError: Unrecognized configuration class <class 'transformers_modules.YannQi.R-4B.0fbbf22db6867d9ac260d8181ac655fd915c9415.configuration_r.RConfig'> 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, Llama4Config, LlavaConfig, LlavaNextConfig, LlavaNextVideoConfig, LlavaOnevisionConfig, Mistral3Config, MllamaConfig, Ovis2Config, PaliGemmaConfig, PerceptionLMConfig, Pix2StructConfig, PixtralVisionConfig, Qwen2_5_VLConfig, Qwen2VLConfig, ShieldGemma2Config, SmolVLMConfig, UdopConfig, VipLlavaConfig, VisionEncoderDecoderConfig.



Everything was good in YannQi_R-4B_1.txt
Traceback (most recent call last):
File "/tmp/allenai_olmOCR-7B-0725_0PHqJbH.py", line 13, in <module>
pipe = pipeline("image-to-text", model="allenai/olmOCR-7B-0725")
File "/tmp/.cache/uv/environments-v2/529bdc2bdc6fbbc1/lib/python3.13/site-packages/transformers/pipelines/__init__.py", line 1090, in pipeline
raise e
File "/tmp/.cache/uv/environments-v2/529bdc2bdc6fbbc1/lib/python3.13/site-packages/transformers/pipelines/__init__.py", line 1085, in pipeline
image_processor = AutoImageProcessor.from_pretrained(
image_processor, _from_pipeline=task, hub_kwargs, model_kwargs
)
File "/tmp/.cache/uv/environments-v2/529bdc2bdc6fbbc1/lib/python3.13/site-packages/transformers/models/auto/image_processing_auto.py", line 597, in from_pretrained
return image_processor_class.from_dict(config_dict, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/tmp/.cache/uv/environments-v2/529bdc2bdc6fbbc1/lib/python3.13/site-packages/transformers/utils/import_utils.py", line 2116, in __getattribute__
requires_backends(cls, cls._backends)
~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^
File "/tmp/.cache/uv/environments-v2/529bdc2bdc6fbbc1/lib/python3.13/site-packages/transformers/utils/import_utils.py", line 2102, in requires_backends
raise ImportError("".join(failed))
ImportError:
Qwen2VLImageProcessor requires the PIL library but it was not found in your environment. You can install it with pip:
`pip install pillow`. Please note that you may need to restart your runtime after installation.

Traceback (most recent call last):
File "/tmp/allenai_olmOCR-7B-0725_1o6KaGZ.py", line 13, in <module>
processor = AutoProcessor.from_pretrained("allenai/olmOCR-7B-0725")
File "/tmp/.cache/uv/environments-v2/b27882d3da9f988d/lib/python3.13/site-packages/transformers/models/auto/processing_auto.py", line 385, in from_pretrained
return processor_class.from_pretrained(
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
pretrained_model_name_or_path, trust_remote_code=trust_remote_code, **kwargs
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/tmp/.cache/uv/environments-v2/b27882d3da9f988d/lib/python3.13/site-packages/transformers/processing_utils.py", line 1310, in from_pretrained
args = cls._get_arguments_from_pretrained(pretrained_model_name_or_path, **kwargs)
File "/tmp/.cache/uv/environments-v2/b27882d3da9f988d/lib/python3.13/site-packages/transformers/processing_utils.py", line 1369, in _get_arguments_from_pretrained
args.append(attribute_class.from_pretrained(pretrained_model_name_or_path, **kwargs))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/tmp/.cache/uv/environments-v2/b27882d3da9f988d/lib/python3.13/site-packages/transformers/utils/import_utils.py", line 2116, in __getattribute__
requires_backends(cls, cls._backends)

...<5 lines>...

timeout=timeout,

)

File "/tmp/.cache/uv/environments-v2/750b6ec382b5be28/lib/python3.13/site-packages/huggingface_hub/file_download.py", line 286, in _request_wrapper

response = _request_wrapper(

method=method,

...<2 lines>...

**params,

)

File "/tmp/.cache/uv/environments-v2/750b6ec382b5be28/lib/python3.13/site-packages/huggingface_hub/file_download.py", line 310, in _request_wrapper

hf_raise_for_status(response)

~~~~~~~~~~~~~~~~~~~^^^^^^^^^^

File "/tmp/.cache/uv/environments-v2/750b6ec382b5be28/lib/python3.13/site-packages/huggingface_hub/utils/_http.py", line 420, in hf_raise_for_status

raise _format(EntryNotFoundError, message, response) from e

huggingface_hub.errors.EntryNotFoundError: 404 Client Error. (Request ID: Root=1-6895ca0d-3fda83bb49f04b595769150f;9291fb74-2aac-4bee-abda-9269c198532b)

Entry Not Found for url: https://huggingface.co/X-Omni/X-Omni-En/resolve/main/model_index.json.

Traceback (most recent call last):

File "/tmp/YannQi_R-4B_0CLEfKc.py", line 13, in <module>

pipe = pipeline("image-text-to-text", model="YannQi/R-4B", trust_remote_code=True)

File "/tmp/.cache/uv/environments-v2/5c6b903e588f7f65/lib/python3.13/site-packages/transformers/pipelines/__init__.py", line 1028, in pipeline

framework, model = infer_framework_load_model(

~~~~~~~~~~~~~~~~~~~~~~~~~~^

adapter_path if adapter_path is not None else model,

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

...<5 lines>...

**model_kwargs,

^^^^^^^^^^^^^^^

)

^

File "/tmp/.cache/uv/environments-v2/5c6b903e588f7f65/lib/python3.13/site-packages/transformers/pipelines/base.py", line 333, in infer_framework_load_model

raise ValueError(

f"Could not load model {model} with any of the following classes: {class_tuple}. See the original errors:\n\n{error}\n"

)

ValueError: Could not load model YannQi/R-4B 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 "/tmp/.cache/uv/environments-v2/5c6b903e588f7f65/lib/python3.13/site-packages/transformers/pipelines/base.py", line 293, in infer_framework_load_model

model = model_class.from_pretrained(model, **kwargs)

File "/tmp/.cache/uv/environments-v2/5c6b903e588f7f65/lib/python3.13/site-packages/transformers/models/auto/auto_factory.py", line 607, in from_pretrained

raise ValueError(

...<2 lines>...

)

ValueError: Unrecognized configuration class <class 'transformers_modules.YannQi.R-4B.0fbbf22db6867d9ac260d8181ac655fd915c9415.configuration_r.RConfig'> 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, Llama4Config, LlavaConfig, LlavaNextConfig, LlavaNextVideoConfig, LlavaOnevisionConfig, Mistral3Config, MllamaConfig, Ovis2Config, PaliGemmaConfig, PerceptionLMConfig, Pix2StructConfig, PixtralVisionConfig, Qwen2_5_VLConfig, Qwen2VLConfig, ShieldGemma2Config, SmolVLMConfig, UdopConfig, VipLlavaConfig, VisionEncoderDecoderConfig.

During handling of the above exception, another exception occurred:

Traceback (most recent call last):

File "/tmp/.cache/uv/environments-v2/5c6b903e588f7f65/lib/python3.13/site-packages/transformers/pipelines/base.py", line 311, in infer_framework_load_model

model = model_class.from_pretrained(model, **fp32_kwargs)

File "/tmp/.cache/uv/environments-v2/5c6b903e588f7f65/lib/python3.13/site-packages/transformers/models/auto/auto_factory.py", line 607, in from_pretrained

raise ValueError(

...<2 lines>...

)

ValueError: Unrecognized configuration class <class 'transformers_modules.YannQi.R-4B.0fbbf22db6867d9ac260d8181ac655fd915c9415.configuration_r.RConfig'> 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, Llama4Config, LlavaConfig, LlavaNextConfig, LlavaNextVideoConfig, LlavaOnevisionConfig, Mistral3Config, MllamaConfig, Ovis2Config, PaliGemmaConfig, PerceptionLMConfig, Pix2StructConfig, PixtralVisionConfig, Qwen2_5_VLConfig, Qwen2VLConfig, ShieldGemma2Config, SmolVLMConfig, UdopConfig, VipLlavaConfig, VisionEncoderDecoderConfig.

Everything was good in YannQi_R-4B_1.txt

Traceback (most recent call last):

File "/tmp/allenai_olmOCR-7B-0725_0PHqJbH.py", line 13, in <module>

pipe = pipeline("image-to-text", model="allenai/olmOCR-7B-0725")

File "/tmp/.cache/uv/environments-v2/529bdc2bdc6fbbc1/lib/python3.13/site-packages/transformers/pipelines/__init__.py", line 1090, in pipeline

raise e

File "/tmp/.cache/uv/environments-v2/529bdc2bdc6fbbc1/lib/python3.13/site-packages/transformers/pipelines/__init__.py", line 1085, in pipeline

image_processor = AutoImageProcessor.from_pretrained(

image_processor, _from_pipeline=task, **hub_kwargs, **model_kwargs

)

File "/tmp/.cache/uv/environments-v2/529bdc2bdc6fbbc1/lib/python3.13/site-packages/transformers/models/auto/image_processing_auto.py", line 597, in from_pretrained

return image_processor_class.from_dict(config_dict, **kwargs)

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "/tmp/.cache/uv/environments-v2/529bdc2bdc6fbbc1/lib/python3.13/site-packages/transformers/utils/import_utils.py", line 2116, in __getattribute__

requires_backends(cls, cls._backends)

~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^

File "/tmp/.cache/uv/environments-v2/529bdc2bdc6fbbc1/lib/python3.13/site-packages/transformers/utils/import_utils.py", line 2102, in requires_backends

raise ImportError("".join(failed))

ImportError:

Qwen2VLImageProcessor requires the PIL library but it was not found in your environment. You can install it with pip:

`pip install pillow`. Please note that you may need to restart your runtime after installation.

Traceback (most recent call last):

File "/tmp/allenai_olmOCR-7B-0725_1o6KaGZ.py", line 13, in <module>

processor = AutoProcessor.from_pretrained("allenai/olmOCR-7B-0725")

File "/tmp/.cache/uv/environments-v2/b27882d3da9f988d/lib/python3.13/site-packages/transformers/models/auto/processing_auto.py", line 385, in from_pretrained

return processor_class.from_pretrained(

~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^

pretrained_model_name_or_path, trust_remote_code=trust_remote_code, **kwargs

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

)

^

File "/tmp/.cache/uv/environments-v2/b27882d3da9f988d/lib/python3.13/site-packages/transformers/processing_utils.py", line 1310, in from_pretrained

args = cls._get_arguments_from_pretrained(pretrained_model_name_or_path, **kwargs)

File "/tmp/.cache/uv/environments-v2/b27882d3da9f988d/lib/python3.13/site-packages/transformers/processing_utils.py", line 1369, in _get_arguments_from_pretrained

args.append(attribute_class.from_pretrained(pretrained_model_name_or_path, **kwargs))

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "/tmp/.cache/uv/environments-v2/b27882d3da9f988d/lib/python3.13/site-packages/transformers/utils/import_utils.py", line 2116, in __getattribute__

requires_backends(cls, cls._backends)