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![]() * [WIP] Skeleton of VisualQuestionAnweringPipeline extended to support LayoutLM-like models * Fixup * Use the full encoding * Basic refactoring to DocumentQuestionAnsweringPipeline * Cleanup * Improve args, docs, and implement preprocessing * Integrate OCR * Refactor question_answering pipeline * Use refactored QA code in the document qa pipeline * Fix tests * Some small cleanups * Use a string type annotation for Image.Image * Update encoding with image features * Wire through the basic docs * Handle invalid response * Handle empty word_boxes properly * Docstring fix * Integrate Donut model * Fixup * Incorporate comments * Address comments * Initial incorporation of tests * Address Comments * Change assert to ValueError * Comments * Wrap `score` in float to make it JSON serializable * Incorporate AutoModeLForDocumentQuestionAnswering changes * Fixup * Rename postprocess function * Fix auto import * Applying comments * Improve docs * Remove extra assets and add copyright * Address comments Co-authored-by: Ankur Goyal <ankur@impira.com> |
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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_document_question_answering.py | ||
test_pipelines_feature_extraction.py | ||
test_pipelines_fill_mask.py | ||
test_pipelines_image_classification.py | ||
test_pipelines_image_segmentation.py | ||
test_pipelines_image_to_text.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 |