Update README.md

README.md

@@ -6,7 +6,12 @@
 
 # Model Card for Model ID
 
-<!-- 
+
+## Model Details
+
+
+### Model Description
+
 In the US, approximately 92% of legal problems experienced by low-income people receive no meaningful help from a lawyer. 
 For middle-income Americans (over 50% of the population), obtaining affordable legal help also presents a great challenge with an 
 estimated 129 million legal problems going unresolved each year. 
@@ -14,26 +19,18 @@ estimated 129 million legal problems going unresolved each year.
 Technology provides at least one potential solution to the ever-growing civil justice gap. Specifically, generative AI holds great 
 promise because it bridges expert legal knowledge and can make it accessible to a layperson who needs help with a legal issue. 
 
-This model is an attempt to  
--->
-
-This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).
-
-## Model Details
-
-### Model Description
-
-<!-- Provide a longer summary of what this model is. -->
+This model is an attempt to empower Tennessee residents to tackle relevant legal issues individually. This model is specifically for
+aiding Tennesseeans in the area of Advanced Directives and End of Life Care. 
 
 
 
-- **Developed by:** [More Information Needed]
-- **Funded by [optional]:** [More Information Needed]
-- **Shared by [optional]:** [More Information Needed]
-- **Model type:** [More Information Needed]
-- **Language(s) (NLP):** [More Information Needed]
-- **License:** [More Information Needed]
-- **Finetuned from model [optional]:** [More Information Needed]
+- **Developed by:** The Vanderbilt Data Science Institute and the Vanderbilt AI and Law Lab
+- **Funded by [optional]:**
+- **Shared by [optional]:** 
+- **Model type:** 
+- **Language(s) (NLP):** 
+- **License:**
+- **Finetuned from model [optional]:**
 
 ### Model Sources [optional]
 
@@ -122,12 +119,6 @@ Use the code below to get started with the model.
 
 [More Information Needed]
 
-#### Factors
-
-<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
-
-[More Information Needed]
-
 #### Metrics
 
 <!-- These are the evaluation metrics being used, ideally with a description of why. -->
@@ -154,11 +145,11 @@ Use the code below to get started with the model.
 
 Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
 
-- **Hardware Type:** [More Information Needed]
-- **Hours used:** [More Information Needed]
-- **Cloud Provider:** [More Information Needed]
-- **Compute Region:** [More Information Needed]
-- **Carbon Emitted:** [More Information Needed]
+- **Hardware Type:**
+- **Hours used:** 
+- **Cloud Provider:** 
+- **Compute Region:**
+- **Carbon Emitted:** 
 
 ## Technical Specifications [optional]