Instructions to use Benedict-L/layoutlm-funsd1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Benedict-L/layoutlm-funsd1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Benedict-L/layoutlm-funsd1")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Benedict-L/layoutlm-funsd1") model = AutoModelForTokenClassification.from_pretrained("Benedict-L/layoutlm-funsd1") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 1
Browse files
logs/events.out.tfevents.1719539859.HCIDC-SV-DMZ-ORC-NODE02.2465586.0
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