Token Classification
Transformers
PyTorch
TensorBoard
layoutlmv3
Generated from Trainer
Eval Results (legacy)
Instructions to use Sebabrata/layoutlmv3-finetuned-cord_100 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sebabrata/layoutlmv3-finetuned-cord_100 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Sebabrata/layoutlmv3-finetuned-cord_100")# Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("Sebabrata/layoutlmv3-finetuned-cord_100") model = AutoModelForTokenClassification.from_pretrained("Sebabrata/layoutlmv3-finetuned-cord_100", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened over 1 year ago
by
SFconvertbot