Token Classification
Transformers
PyTorch
TensorBoard
Safetensors
layoutlmv3
Generated from Trainer
Eval Results (legacy)
Instructions to use oussama/layoutlmv3-finetuned-invoice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use oussama/layoutlmv3-finetuned-invoice with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="oussama/layoutlmv3-finetuned-invoice")# Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("oussama/layoutlmv3-finetuned-invoice") model = AutoModelForTokenClassification.from_pretrained("oussama/layoutlmv3-finetuned-invoice") - Notebooks
- Google Colab
- Kaggle
Could we leverage the layoutlmv3-finetuned-invoice model for extracting data from invoice images?
#4
by bubbleMilkTea - opened
I would like to use this model to extract all key-value pairs, where the keys represent field names and the values correspond to field entries from the invoice, and output the results in JSON format. Could anyone provide a reference example?