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
This PR ensures your model shows up at https://huggingface.co/datasets/llamaindex/ParseBench.
This is based on the new evaluation results feature: https://huggingface.co/docs/hub/eval-results.
Note: this is the overall score (mean across all 5 ParseBench dimensions: text_content, text_formatting, layout, chart, table).
Closing in favor of an updated PR with per-dimension performance details.
boyang-runllama changed pull request status to closed