Update README.md

README.md

@@ -9,7 +9,7 @@ license: apache-2.0
 
 **slim-sentiment-tool** is a 4_K_M quantized GGUF version of slim-sentiment, providing a small, fast inference implementation, optimized for multi-model concurrent deployment.  
 
-[**slim-sentiment**](https://huggingface.co/llmware/slim-sentiment) is part of the SLIM ("Structured Language Instruction Model") series, providing a set of small, specialized decoder-based LLMs, fine-tuned for function-calling.
+[**slim-sentiment**](https://huggingface.co/llmware/slim-sentiment) is part of the SLIM ("**S**tructured **L**anguage **I**nstruction **M**odel") series, providing a set of small, specialized decoder-based LLMs, fine-tuned for function-calling.
 
 To pull the model via API:  
 
@@ -22,8 +22,8 @@ Load in your favorite GGUF inference engine, or try with llmware as follows:
     from llmware.models import ModelCatalog  
     
     # to load the model and make a basic inference
-    sentiment_tool = ModelCatalog().load_model("slim-sentiment-tool")
-    response = sentiment_tool.function_call(text_sample)  
+    model = ModelCatalog().load_model("slim-sentiment-tool")
+    response = model.function_call(text_sample)  
 
     # this one line will download the model and run a series of tests
     ModelCatalog().tool_test_run("slim-sentiment-tool", verbose=True)