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provide trust_remote_code for search feat extractor in model config (#34036)

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Ekaterina Aidova 2024-10-10 19:33:46 +04:00 committed by GitHub
parent 8363fd8346
commit 211f1d93db
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2 changed files with 6 additions and 2 deletions
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4
src/transformers/models/auto/feature_extraction_auto.py
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@ -351,7 +351,9 @@ class AutoFeatureExtractor:
# If we don't find the feature extractor class in the feature extractor config, let's try the model config. # If we don't find the feature extractor class in the feature extractor config, let's try the model config.
if feature_extractor_class is None and feature_extractor_auto_map is None: if feature_extractor_class is None and feature_extractor_auto_map is None:
if not isinstance(config, PretrainedConfig): if not isinstance(config, PretrainedConfig):
config = AutoConfig.from_pretrained(pretrained_model_name_or_path, **kwargs) config = AutoConfig.from_pretrained(
pretrained_model_name_or_path, trust_remote_code=trust_remote_code, **kwargs
)
# It could be in `config.feature_extractor_type`` # It could be in `config.feature_extractor_type``
feature_extractor_class = getattr(config, "feature_extractor_type", None) feature_extractor_class = getattr(config, "feature_extractor_type", None)
if hasattr(config, "auto_map") and "AutoFeatureExtractor" in config.auto_map: if hasattr(config, "auto_map") and "AutoFeatureExtractor" in config.auto_map:

4
src/transformers/models/auto/image_processing_auto.py
View File

@ -431,7 +431,9 @@ class AutoImageProcessor:
# If we don't find the image processor class in the image processor config, let's try the model config. # If we don't find the image processor class in the image processor config, let's try the model config.
if image_processor_class is None and image_processor_auto_map is None: if image_processor_class is None and image_processor_auto_map is None:
if not isinstance(config, PretrainedConfig): if not isinstance(config, PretrainedConfig):
config = AutoConfig.from_pretrained(pretrained_model_name_or_path, **kwargs) config = AutoConfig.from_pretrained(
pretrained_model_name_or_path, trust_remote_code=trust_remote_code, **kwargs
)
# It could be in `config.image_processor_type`` # It could be in `config.image_processor_type``
image_processor_class = getattr(config, "image_processor_type", None) image_processor_class = getattr(config, "image_processor_type", None)
if hasattr(config, "auto_map") and "AutoImageProcessor" in config.auto_map: if hasattr(config, "auto_map") and "AutoImageProcessor" in config.auto_map: