Instructions to use docling-project/docling-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use docling-project/docling-models with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("docling-project/docling-models", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Add ParseBench evaluation results
#23
by boyang-runllama - opened
.eval_results/parsebench.yaml
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- dataset:
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id: llamaindex/ParseBench
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task_id: mean
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value: 50.6
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date: '2026-04-09'
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source:
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url: https://huggingface.co/datasets/llamaindex/ParseBench
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name: ParseBench
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user: boyang-runllama
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notes: "Pipeline name: docling_parse"
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