Update README.md

README.md

@@ -7,4 +7,32 @@ metrics:
 pipeline_tag: text-classification
 tags:
 - legal
----
+---
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+Model to predict and extract governing law from legal documents.
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+- **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 clf_ner import clf_ner
+clf_ner.predict("This agreement shall be governed by the laws of the State of New Jersey")
+```