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