Token Classification
Transformers
PyTorch
English
layoutlmv3
Generated from Trainer
Document Layout
LayoutLMv3
Eval Results (legacy)
Instructions to use DunnBC22/layoutlmv3-base-fine_tuned-FUNSD_dataset with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DunnBC22/layoutlmv3-base-fine_tuned-FUNSD_dataset with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="DunnBC22/layoutlmv3-base-fine_tuned-FUNSD_dataset")# Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("DunnBC22/layoutlmv3-base-fine_tuned-FUNSD_dataset") model = AutoModelForTokenClassification.from_pretrained("DunnBC22/layoutlmv3-base-fine_tuned-FUNSD_dataset") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened over 1 year ago
by
SFconvertbot