Token Classification
Transformers
Safetensors
English
Indonesian
layoutlmv3
receipt
invoice
cord
document-understanding
key-information-extraction
Instructions to use Klissh/layoutlmv3-cord-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Klissh/layoutlmv3-cord-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Klissh/layoutlmv3-cord-v2")# Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("Klissh/layoutlmv3-cord-v2") model = AutoModelForTokenClassification.from_pretrained("Klissh/layoutlmv3-cord-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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