Update README.md

README.md

@@ -6,9 +6,12 @@ license: apache-2.0
 
 # LLM user flow classification
 
-This a ONNX quantized model and is fined-tuned version of [MiniLMv2-L6-H384](https://huggingface.co/nreimers/MiniLMv2-L6-H384-distilled-from-RoBERTa-Large).
+This model identifies common events and patterns within the conversation flow. 
+Such events include, for example, complaint, when a user expresses dissatisfaction.
+The flow labels can serve as foundational elements for sophisticated LLM analytics.
 
-This model identifies common events and patterns within the conversation flow. Such events include, for example, complaint, when a user expresses dissatisfaction.
+It is ONNX quantized and is a fined-tune of [MiniLMv2-L6-H384](https://huggingface.co/nreimers/MiniLMv2-L6-H384-distilled-from-RoBERTa-Large).
+The base model can be found [here](https://huggingface.co/minuva/MiniLMv2-userflow-v2)
 
 This model is used *only* for the user texts. For the LLM texts in the dialog use this [agent model](https://huggingface.co/minuva/MiniLMv2-agentflow-v2-onnx). 
 
@@ -195,4 +198,4 @@ res
 
 # Deployment
 
-Check [our llm-flow-classification repository](https://github.com/minuva/llm-flow-classification) for a FastAPI and ONNX based server to deploy this model on CPU devices.
+Check our [llm-flow-classification repository](https://github.com/minuva/llm-flow-classification) for a FastAPI and ONNX based server to deploy this model on CPU devices.