Update README.md

README.md

@@ -1,13 +1,14 @@
 ---
-license: cc-by-sa-4.0
+license: apache-2.0  
+inference: false 
 ---
 
-# SLIM-SA_NER-TOOL
+# SLIM-SA_NER-PHI-3-GGUF
 
 <!-- Provide a quick summary of what the model is/does. -->
 
 
-**slim-sa-ner-tool** is a 4_K_M quantized GGUF version of [**slim-sa-ner**](https://huggingface.co/llmware/slim-sa-ner), providing a small, fast inference implementation, optimized for multi-model concurrent deployment.  
+**slim-sa-ner-phi-3-gguf** is a 4_K_M quantized GGUF version of [**slim-sa-ner**](https://huggingface.co/llmware/slim-sa-ner), providing a small, fast inference implementation, optimized for multi-model concurrent deployment.  
 
 slim-sa-ner combines two of the most popular traditional classifier functions (Sentiment Analysis and Named Entity Recognition), and reimagines them as function calls on a specialized decoder-based LLM, generating output consisting of a python dictionary with keys corresponding to sentiment, and NER identifiers, such as people, organization, and place, e.g.:
 
@@ -23,7 +24,7 @@ The intent of SLIMs is to forge a middle-ground between traditional encoder-base
 To pull the model via API:  
 
     from huggingface_hub import snapshot_download           
-    snapshot_download("llmware/slim-sa-ner-tool", local_dir="/path/on/your/machine/", local_dir_use_symlinks=False)  
+    snapshot_download("llmware/slim-sa-ner-phi-3-gguf", local_dir="/path/on/your/machine/", local_dir_use_symlinks=False)  
     
 
 Load in your favorite GGUF inference engine, or try with llmware as follows:
@@ -31,14 +32,14 @@ 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
-    model = ModelCatalog().load_model("slim-sa-ner-tool")
+    model = ModelCatalog().load_model("slim-sa-ner-phi-3-gguf")
     response = model.function_call(text_sample)  
 
     # this one line will download the model and run a series of tests
-    ModelCatalog().tool_test_run("slim-sa-ner-tool", verbose=True)  
+    ModelCatalog().tool_test_run("slim-sa-ner-phi-3-gguf", verbose=True)  
 
 
-Note: please review [**config.json**](https://huggingface.co/llmware/slim-sa-ner-tool/blob/main/config.json) in the repository for prompt wrapping information, details on the model, and full test set.  
+Note: please review [**config.json**](https://huggingface.co/llmware/slim-sa-ner-phi-3-gguf/blob/main/config.json) in the repository for prompt wrapping information, details on the model, and full test set.  
 
 
 ## Model Card Contact