Instructions to use nielsr/layoutlmv2-finetuned-funsd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nielsr/layoutlmv2-finetuned-funsd with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="nielsr/layoutlmv2-finetuned-funsd")# Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("nielsr/layoutlmv2-finetuned-funsd") model = AutoModelForTokenClassification.from_pretrained("nielsr/layoutlmv2-finetuned-funsd") - Notebooks
- Google Colab
- Kaggle
Commit ·
405e522
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Parent(s): 089374e
Librarian Bot: Add base_model information to model (#2)
Browse files- Librarian Bot: Add base_model information to model (5aed56048f0de5027913416af3a902153f780d0a)
Co-authored-by: Librarian Bot (Bot) <librarian-bot@users.noreply.huggingface.co>
README.md
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name: funsd
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type: funsd
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args: funsd
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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name: funsd
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type: funsd
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args: funsd
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base_model: microsoft/layoutlmv2-base-uncased
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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