Instructions to use lucasorrentino/Contractner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER
How to use lucasorrentino/Contractner with GLiNER:
from gliner import GLiNER model = GLiNER.from_pretrained("lucasorrentino/Contractner") - Notebooks
- Google Colab
- Kaggle
Other benchmarks
Hey Luca!
great work on this finetuning
I was wondering whether this model has been evaluated against other similar datasets for NER, in order to understand how it performs in docs with extended or similar but different vocabulary.
did you find any other open dataset in this scope?
Also, a bit of-topic, but since you are into legal NER, do you also have any leads for legal RE (Relation Extraction) between these entities as well?
Lastly, what is your strategy to fit the ContractNer chunks into the model? overlapping chunks or sth else?
Why didn't you finetune to the latest version of glinner (https://huggingface.co/fastino/gliner2-multi-v1) and you did it to an older one?
These research insights would be of great help to me.
Thanks!!