Instructions to use PrimWong/layout_qa_hparam_tuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PrimWong/layout_qa_hparam_tuning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("document-question-answering", model="PrimWong/layout_qa_hparam_tuning")# Load model directly from transformers import AutoProcessor, AutoModelForDocumentQuestionAnswering processor = AutoProcessor.from_pretrained("PrimWong/layout_qa_hparam_tuning") model = AutoModelForDocumentQuestionAnswering.from_pretrained("PrimWong/layout_qa_hparam_tuning") - Notebooks
- Google Colab
- Kaggle
File size: 317 Bytes
8193336 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | {
"apply_ocr": true,
"do_resize": true,
"feature_extractor_type": "LayoutLMv2FeatureExtractor",
"image_processor_type": "LayoutLMv2ImageProcessor",
"ocr_lang": null,
"processor_class": "LayoutLMv2Processor",
"resample": 2,
"size": {
"height": 224,
"width": 224
},
"tesseract_config": ""
}
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