How to use MikhailKuz/tmp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("document-question-answering", model="MikhailKuz/tmp")
# Load model directly from transformers import AutoProcessor, AutoModelForDocumentQuestionAnswering processor = AutoProcessor.from_pretrained("MikhailKuz/tmp") model = AutoModelForDocumentQuestionAnswering.from_pretrained("MikhailKuz/tmp")
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{ "apply_ocr": true, "do_resize": true, "image_processor_type": "LayoutLMv2ImageProcessor", "ocr_lang": null, "processor_class": "LayoutLMv2Processor", "resample": 2, "size": { "height": 224, "width": 224 }, "tesseract_config": "" }
