Object Detection
Transformers
PyTorch
TensorBoard
layoutlm
token-classification
Generated from Trainer
endpoints-template
Instructions to use Narsil/layoutlm-funsd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Narsil/layoutlm-funsd with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="Narsil/layoutlm-funsd")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Narsil/layoutlm-funsd") model = AutoModelForTokenClassification.from_pretrained("Narsil/layoutlm-funsd", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 199 Bytes
0451e8d | 1 2 3 4 5 6 7 8 9 10 | {
"apply_ocr": true,
"do_resize": true,
"feature_extractor_type": "LayoutLMv2FeatureExtractor",
"ocr_lang": null,
"processor_class": "LayoutLMv2Processor",
"resample": 2,
"size": 224
}
|