Token Classification
Transformers
PyTorch
English
layoutlmv3
Generated from Trainer
token_classifier
layout_analysis
Eval Results (legacy)
Instructions to use Mit1208/layoutlmv3-finetuned-DocLayNet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mit1208/layoutlmv3-finetuned-DocLayNet with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Mit1208/layoutlmv3-finetuned-DocLayNet")# Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("Mit1208/layoutlmv3-finetuned-DocLayNet") model = AutoModelForTokenClassification.from_pretrained("Mit1208/layoutlmv3-finetuned-DocLayNet") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#5 opened over 1 year ago
by
SFconvertbot
Librarian Bot: Add base_model information to model
#4 opened over 2 years ago
by
librarian-bot
Adding `safetensors` variant of this model
#3 opened almost 3 years ago
by
SFconvertbot