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![]() * Adding a better error message when the model is improperly configured within transformers. * Update src/transformers/pipelines/__init__.py * Black version. * Overriding task aliases so that tokenizer+feature_extractor values are correct. * Fixing task aliases by overriding their names early * X. * Fixing feature-extraction. * black again. * Normalizing `translation` too. * Fixing last few corner cases. translation need to use its non normalized name (translation_XX_to_YY, so that the task_specific_params are correctly overloaded). This can be removed and cleaned up in a later PR. `speech-encode-decoder` actually REQUIRES to pass a `tokenizer` manually so the error needs to be discarded when the `tokenizer` is already there. * doc-builder fix. * Fixing the real issue. * Removing dead code. * Do not import the actual config classes. |
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.. | ||
__init__.py | ||
test_pipelines_audio_classification.py | ||
test_pipelines_automatic_speech_recognition.py | ||
test_pipelines_common.py | ||
test_pipelines_conversational.py | ||
test_pipelines_feature_extraction.py | ||
test_pipelines_fill_mask.py | ||
test_pipelines_image_classification.py | ||
test_pipelines_image_segmentation.py | ||
test_pipelines_object_detection.py | ||
test_pipelines_question_answering.py | ||
test_pipelines_summarization.py | ||
test_pipelines_table_question_answering.py | ||
test_pipelines_text_classification.py | ||
test_pipelines_text_generation.py | ||
test_pipelines_text2text_generation.py | ||
test_pipelines_token_classification.py | ||
test_pipelines_translation.py | ||
test_pipelines_visual_question_answering.py | ||
test_pipelines_zero_shot_image_classification.py | ||
test_pipelines_zero_shot.py |