Update README.md

README.md

@@ -9,7 +9,7 @@ inference: false
 
 **slim-nli** is part of the SLIM ("**S**tructured **L**anguage **I**nstruction **M**odel") model series, consisting of small, specialized decoder-based models, fine-tuned for function-calling.  
 
-slim-sentiment has been fine-tuned for **natural language inference (nli)** function calls, generating output consisting of a python dictionary corresponding to specified keys, e.g.:  
+slim-nli has been fine-tuned for **natural language inference (nli)** function calls, generating output consisting of a python dictionary corresponding to specified keys, e.g.:  
 
     `{"evidence": ["contradicts"]}`
 
@@ -80,8 +80,8 @@ Each slim model has a 'quantized tool' version, e.g.,  [**'slim-nli-tool'**](htt
 <summary>Using as Function Call in LLMWare</summary>
 
     from llmware.models import ModelCatalog
-    slim_model = ModelCatalog().load_model("llmware/slim-sentiment")
-    response = slim_model.function_call(text,params=["sentiment"], function="classify")
+    slim_model = ModelCatalog().load_model("llmware/slim-nli")
+    response = slim_model.function_call(text,params=["evidence"], function="classify")
 
     print("llmware - llm_response: ", response)