Model Card for roberta-base-cuad
Model Details
Model Description
- Developed by: Hendrycks et al.
- Model type: Question Answering
- Language(s) (NLP): en
- License: cc-by-4.0
- Related Models:
- Parent Model: RoBERTa
- Resources for more information:
- GitHub Repo: TheAtticusProject
- Associated Paper: CUAD: An Expert-Annotated NLP Dataset for Legal Contract Review
- Project website: Contract Understanding Atticus Dataset (CUAD)
Uses
Direct Use
This model can be used for the task of Question Answering on Legal Documents.
Training Details
Read: CUAD: An Expert-Annotated NLP Dataset for Legal Contract Review for detailed information on training procedure, dataset preprocessing and evaluation.
Training Data, Procedure, Preprocessing, etc.
See CUAD dataset card for more information.
Evaluation
Testing Data, Factors & Metrics
Testing Data
See CUAD dataset card for more information.
Software
Python, Transformers
Citation
BibTeX:
@article{hendrycks2021cuad,
title={CUAD: An Expert-Annotated NLP Dataset for Legal Contract Review},
author={Dan Hendrycks and Collin Burns and Anya Chen and Spencer Ball},
journal={NeurIPS},
year={2021}
}
How to Get Started with the Model
Use the code below to get started with the model.
Click to expand
from transformers import AutoTokenizer, AutoModelForQuestionAnswering
tokenizer = AutoTokenizer.from_pretrained("mgigena/cuad-roberta-base")
model = AutoModelForQuestionAnswering.from_pretrained("mgigena/cuad-roberta-base")
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