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
-
Upload tm_config.json
Verified signaturealigned tabulationsb43385d -
Upload tm_config.json
Verified signatureCleaned config9912597
-
Upload tableformer_accurate.safetensors
Verified signatureUpdated to the state of the latest training3825fd8
-
Upload folder using huggingface_hub
Verified signature1bfdbe1
-
Upload folder using huggingface_hub
Verified signature1558974
-
Use safetensors (#2)
Verified signature- Delete folder model_artifacts/layout/beehive_v0.0.5_pt with huggingface_hub (d3d30c3cba91539f87c9c6a9c38e816806623cd8) - Upload folder using huggingface_hub (88056eedef7ef675720f74762c305f2d0944b36d) - Delete folder model_artifacts/tableformer with huggingface_hub (821055b6f5c064972c4471276983179eb2c3a3a7) - Upload folder using huggingface_hub (c8b232e56157b2996cfe56a8093ef76a18c82594) - Delete folder model_artifacts/tableformer with huggingface_hub (796bc7926d9684365d62831a8ad06670c8ebdd85) - Upload folder using huggingface_hub (26278eecbe2875d48a7452b9a009274795ffda74)36bebf5
-
Upload otslp_all_standard_094_clean.check
Verified signature3a32a95 -
Add TableFormer fat version
Signed-off-by: Christoph Auer <cau@zurich.ibm.com>7266186
-
Upload otslp_all_fast.check
Verified signature6402fc8
-
Upload folder using huggingface_hub
Verified signaturef58d07f