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sguarnaccio/gov_law_clf_ner

sourceHugging Faceupdated 3y agoView on Hugging Face
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Model to predict and extract governing law from legal documents.

Model Details

Model Description

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  • —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.

python
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")