Update README.md

README.md

@@ -3,7 +3,7 @@ license: apache-2.0
 inference: false  
 ---
 
-# Model Card for Model ID
+# SLIM-NLI
 
 <!-- Provide a quick summary of what the model is/does. -->
 
@@ -14,7 +14,7 @@ slim-nli has been fine-tuned for **natural language inference (nli)** function c
 &nbsp;&nbsp;&nbsp;&nbsp;`{"evidence": ["contradicts"]}`
 
 
-SLIM models are designed to provide a flexible natural language generative model that can be used as part of a multi-step, multi-model LLM-based automation workflow.  
+SLIM models are designed to generate structured outputs that can be used programmatically as part of a multi-step, multi-model LLM-based automation workflow.  
 
 Each slim model has a 'quantized tool' version, e.g.,  [**'slim-nli-tool'**](https://huggingface.co/llmware/slim-nli-tool).  
 
@@ -81,6 +81,12 @@ Each slim model has a 'quantized tool' version, e.g.,  [**'slim-nli-tool'**](htt
 
     from llmware.models import ModelCatalog
     slim_model = ModelCatalog().load_model("llmware/slim-nli")
+
+    # input text - expects two statements - the first is evidence, and the second is a conclusion    
+    text1 = "The stock market declined yesterday as investors worried increasingly about the slowing economy."    
+    text2 = "Investors are positive about the market."  
+    text = "Evidence: " + text1 + "\n" + "Conclusion: " + text2  
+    
     response = slim_model.function_call(text,params=["evidence"], function="classify")
 
     print("llmware - llm_response: ", response)