Instructions to use fimu-docproc-research/layoutlmv3-large-easy-ocr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fimu-docproc-research/layoutlmv3-large-easy-ocr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="fimu-docproc-research/layoutlmv3-large-easy-ocr")# Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("fimu-docproc-research/layoutlmv3-large-easy-ocr") model = AutoModelForTokenClassification.from_pretrained("fimu-docproc-research/layoutlmv3-large-easy-ocr") - Notebooks
- Google Colab
- Kaggle
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
Finetuned LayoutLMv3 Large on easy_ocr_v0.3.0_all
LayoutLMv3 Large finetuned on all documents processed by OCR 0.3.0, first-page only with no additional cleaning.
Dataset: https://huggingface.co/datasets/fimu-docproc-research/dataset_easy_ocr_v0.3.0_all
Base model: https://huggingface.co/microsoft/layoutlmv3-large
datasets: - fimu-docproc-research/dataset_easy_ocr_v0.3.0_all
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