Instructions to use billyprodev/layoutlm-funsd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use billyprodev/layoutlm-funsd with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="billyprodev/layoutlm-funsd")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("billyprodev/layoutlm-funsd") model = AutoModelForTokenClassification.from_pretrained("billyprodev/layoutlm-funsd") - Notebooks
- Google Colab
- Kaggle
File size: 285 Bytes
15f24bf | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | {
"image_processor": {
"apply_ocr": false,
"do_resize": true,
"image_processor_type": "LayoutLMv2ImageProcessor",
"resample": 2,
"size": {
"height": 224,
"width": 224
},
"tesseract_config": ""
},
"processor_class": "LayoutLMv2Processor"
}
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