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Fix task inference for models with outdated pipeline_tag #2405

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Fix task inference for models with outdated pipeline_tag #2405

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15 changes: 15 additions & 0 deletions optimum/exporters/tasks.py
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Original file line number Diff line number Diff line change
Expand Up @@ -771,6 +771,21 @@ def _infer_task_from_model_name_or_path(
transformers_info = model_info.transformersInfo
if pipeline_tag is not None:
inferred_task_name = cls.map_from_synonym(model_info.pipeline_tag)
# Cross-check with transformers_info.auto_model when available.
# The auto_model is derived from the model's architecture and is more
# reliable than the pipeline_tag which can be outdated (e.g., models
# tagged as image-to-text that should be image-text-to-text).
if transformers_info is not None:
transformers_auto_model = transformers_info.get("auto_model", None)
if transformers_auto_model is not None:
transformers_auto_model = transformers_auto_model.replace("TF", "")
for task_name, model_loaders in cls._TRANSFORMERS_TASKS_TO_MODEL_LOADERS.items():
if isinstance(model_loaders, str):
model_loaders = (model_loaders,)
if transformers_auto_model in model_loaders:
if task_name != inferred_task_name:
inferred_task_name = task_name
break
elif transformers_info is not None:
transformers_pipeline_tag = transformers_info.get("pipeline_tag", None)
transformers_auto_model = transformers_info.get("auto_model", None)
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