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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("docling-project/docling-models", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Delete folder model_artifacts/layout/beehive_v0.0.5 with huggingface_hub
Verified signaturea8a5742 -
Upload model_artifacts/layout/beehive_v0.0.5_pt/model.pt with huggingface_hub
Verified signature7b449fe
-
Upload model_artifacts/layout/beehive_v0.0.5_pt/model.pt with huggingface_hub
Verified signature2bdc831
-
Upload otslp_all_standard_094_clean.check
Verified signature3a32a95 -
Add TableFormer fat version
Signed-off-by: Christoph Auer <cau@zurich.ibm.com>7266186
-
remove DS_Store files
Verified signature9a490e6 -
remove DS_Store files
Verified signature0858820 -
remove DS_Store files
Verified signature5a51a50
-
Upload otslp_all_fast.check
Verified signature6402fc8 -
Update model.pt
Verified signature9e80bb5
-
Upload folder using huggingface_hub
Verified signaturef58d07f