Instructions to use mathieu1256/layoutlmv3-test-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mathieu1256/layoutlmv3-test-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="mathieu1256/layoutlmv3-test-2")# Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("mathieu1256/layoutlmv3-test-2") model = AutoModelForTokenClassification.from_pretrained("mathieu1256/layoutlmv3-test-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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license: cc-by-nc-sa-4.0
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base_model: microsoft/layoutlmv3-base
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pipeline_tag: visual-question-answering
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tags:
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- generated_from_trainer
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datasets:
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---
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license: cc-by-nc-sa-4.0
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base_model: microsoft/layoutlmv3-base
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tags:
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- generated_from_trainer
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datasets:
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