Instructions to use brandaobrandisborges/layoutlm-synthchecking with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use brandaobrandisborges/layoutlm-synthchecking with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="brandaobrandisborges/layoutlm-synthchecking")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("brandaobrandisborges/layoutlm-synthchecking") model = AutoModelForTokenClassification.from_pretrained("brandaobrandisborges/layoutlm-synthchecking", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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End of training
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Training in progress, epoch 26
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Training in progress, epoch 21
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Training in progress, epoch 16
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Training in progress, epoch 11
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Training in progress, epoch 6
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Training in progress, epoch 1
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