Token Classification
Transformers
PyTorch
TensorBoard
Safetensors
layoutlmv3
Generated from Trainer
Eval Results (legacy)
Instructions to use nielsr/layoutlmv3-finetuned-funsd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nielsr/layoutlmv3-finetuned-funsd with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="nielsr/layoutlmv3-finetuned-funsd")# Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("nielsr/layoutlmv3-finetuned-funsd") model = AutoModelForTokenClassification.from_pretrained("nielsr/layoutlmv3-finetuned-funsd", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit ·
85a8faf
1
Parent(s): b447ff8
Librarian Bot: Add base_model information to model (#3)
Browse files- Librarian Bot: Add base_model information to model (1a2e28d1d61ac38542efa92ee0f49b4f2a6d91ed)
Co-authored-by: Librarian Bot (Bot) <librarian-bot@users.noreply.huggingface.co>
README.md
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- recall
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- f1
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- accuracy
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model-index:
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- name: layoutlmv3-finetuned-funsd
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results:
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- task:
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name: Token Classification
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type: token-classification
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dataset:
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name: nielsr/funsd-layoutlmv3
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type: nielsr/funsd-layoutlmv3
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args: funsd
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metrics:
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type: precision
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value: 0.9026198714780029
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value: 0.913
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value: 0.9077802634849614
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value: 0.8330271015158475
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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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- recall
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- f1
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- accuracy
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base_model: microsoft/layoutlmv3-base
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model-index:
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- name: layoutlmv3-finetuned-funsd
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results:
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- task:
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type: token-classification
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name: Token Classification
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dataset:
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name: nielsr/funsd-layoutlmv3
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type: nielsr/funsd-layoutlmv3
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args: funsd
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metrics:
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- type: precision
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value: 0.9026198714780029
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name: Precision
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- type: recall
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value: 0.913
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name: Recall
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- type: f1
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value: 0.9077802634849614
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name: F1
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- type: accuracy
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value: 0.8330271015158475
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name: Accuracy
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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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