Instructions to use elvinaqa/layoutlm-funsd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use elvinaqa/layoutlm-funsd with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="elvinaqa/layoutlm-funsd")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("elvinaqa/layoutlm-funsd") model = AutoModelForTokenClassification.from_pretrained("elvinaqa/layoutlm-funsd", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (5b219bb89ef51ab426daf0e225f6970cb0df2917) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>cdd74f5
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End of training
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Training in progress, epoch 1
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initial commit
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