Object Detection
Transformers
TensorBoard
layoutlm
token-classification
Generated from Trainer
endpoints-template
Instructions to use QUBUHUB/layoutlm-funsd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use QUBUHUB/layoutlm-funsd with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="QUBUHUB/layoutlm-funsd")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("QUBUHUB/layoutlm-funsd") model = AutoModelForTokenClassification.from_pretrained("QUBUHUB/layoutlm-funsd") - Notebooks
- Google Colab
- Kaggle
| { | |
| "apply_ocr": true, | |
| "do_resize": true, | |
| "feature_extractor_type": "LayoutLMv2FeatureExtractor", | |
| "ocr_lang": null, | |
| "processor_class": "LayoutLMv2Processor", | |
| "resample": 2, | |
| "size": 224 | |
| } | |