Object Detection
Transformers
PyTorch
TensorBoard
layoutlmv2
token-classification
Generated from Trainer
Instructions to use Narsil/layoutlmv2-finetuned-funsd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Narsil/layoutlmv2-finetuned-funsd with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="Narsil/layoutlmv2-finetuned-funsd")# Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("Narsil/layoutlmv2-finetuned-funsd") model = AutoModelForTokenClassification.from_pretrained("Narsil/layoutlmv2-finetuned-funsd", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Librarian Bot: Add base_model information to model
#2
by librarian-bot - opened
README.md
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@@ -5,9 +5,9 @@ datasets:
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- funsd
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pipeline_tag: object-detection
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widget:
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- src:
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example_title: invoice
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- src:
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example_title: contract
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model_index:
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- name: layoutlmv2-finetuned-funsd
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type: funsd
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args: funsd
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duplicated_from: nielsr/layoutlmv2-finetuned-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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- funsd
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pipeline_tag: object-detection
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widget:
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- src: https://huggingface.co/spaces/impira/docquery/resolve/2359223c1837a7587402bda0f2643382a6eefeab/invoice.png
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example_title: invoice
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- src: https://huggingface.co/spaces/impira/docquery/resolve/2359223c1837a7587402bda0f2643382a6eefeab/contract.jpeg
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example_title: contract
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model_index:
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- name: layoutlmv2-finetuned-funsd
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type: funsd
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args: funsd
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duplicated_from: nielsr/layoutlmv2-finetuned-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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