metadata

language:
  - en
metrics:
  - accuracy
  - seqeval
pipeline_tag: text-classification
tags:
  - legal

Model Card for Model ID

Model to predict and extract governing law from legal documents.

Model Details

Model Description

Developed by: Sean Guarnaccio
Model type: Text Classification/NER
Language(s) (NLP): Pytorch
License: [More Information Needed]
Finetuned from model [optional]: nlpaueb/bert-base-uncased-contracts

Direct Use

Identify the section of a legal contract that contains the governing law and extract then extract the value.

How to Get Started with the Model

Use the code below to get started with the model.

from transformers import AutoTokenizer
from clf_ner import ClassifierNER

tokenizer = AutoTokenizer.from_pretrained("sguarnaccio/gov_law_clf_ner")

model = ClassifierNER.from_pretrained("sguarnaccio/gov_law_clf_ner")
model.predict("This agreement shall be governed by the laws of the State of New Jersey")