ó <±h‘)ãó¼•SrSSKrSSKJrJr SSKJr SSKJr SSK J r JrJrJ r Jr SSKJrJr SS KJr S SKJr \R,"\5r"SS \5rS /rg)zq Processor class for InstructBLIP. Largely copy of Blip2Processor with addition of a tokenizer for the Q-Former. éN)ÚOptionalÚUnioné)ÚBatchFeature)ÚProcessorMixin)Ú AddedTokenÚPaddingStrategyÚPreTokenizedInputÚ TextInputÚTruncationStrategy)Ú TensorTypeÚlogging)Ú VideoInputé)Ú AutoTokenizerc$óH^•\rSrSrSr/SQrSrSrSrSU4Sjjr S S\ S\\\ \\\\ 4S \S \\\\4S\\\\4S\\S \S\\S\\S\S\S\S\S\S\S\\\\4S\4"SjjrSrSr\S5rU4Sjr\U4Sj5rSrU=r $)!ÚInstructBlipVideoProcessoré'aª Constructs an InstructBLIPVideo processor which wraps a InstructBLIP image processor and a LLaMa/T5 tokenizer into a single processor. [`InstructBlipVideoProcessor`] offers all the functionalities of [`InstructBlipVideoImageProcessor`] and [`AutoTokenizer`]. See the docstring of [`~InstructBlipVideoProcessor.__call__`] and [`~InstructBlipVideoProcessor.decode`] for more information. Args: video_processor (`InstructBlipVideoVideoProcessor`): An instance of [`InstructBlipVideoVideoProcessor`]. The video processor is a required input. tokenizer (`AutoTokenizer`): An instance of ['PreTrainedTokenizer`]. The tokenizer is a required input. qformer_tokenizer (`AutoTokenizer`): An instance of ['PreTrainedTokenizer`]. The Q-Former tokenizer is a required input. num_query_tokens (`int`, *optional*): Number of tokens used by the Qformer as queries, should be same as in model's config. )Úvideo_processorÚ tokenizerÚqformer_tokenizerÚAutoVideoProcessorrcóÎ>•[US5(d,[SSSS9UlURUR/SS9 OURUlX@l[ TU]XU5 g)NÚvideo_tokenz