Update README.md

README.md

@@ -68,8 +68,8 @@ This model recognizes 15+ different intents for contact management:
 from transformers import AutoTokenizer, AutoModelForSequenceClassification, pipeline
 
 # Load model and tokenizer
-tokenizer = AutoTokenizer.from_pretrained("mykytakotenko/assistant-bot-intent-classifier")
-model = AutoModelForSequenceClassification.from_pretrained("mykytakotenko/assistant-bot-intent-classifier")
+tokenizer = AutoTokenizer.from_pretrained("kms-engineer/assistant-bot-intent-classifier")
+model = AutoModelForSequenceClassification.from_pretrained("kms-engineer/assistant-bot-intent-classifier")
 
 # Create classification pipeline
 classifier = pipeline("text-classification", model=model, tokenizer=tokenizer)
@@ -153,7 +153,7 @@ If you use this model, please cite:
   title = {Intent Classifier for Contact Management Assistant Bot},
   year = {2025},
   publisher = {Hugging Face},
-  howpublished = {\url{https://huggingface.co/mykytakotenko/assistant-bot-intent-classifier}},
+  howpublished = {\url{https://huggingface.co/kms-engineer/assistant-bot-intent-classifier}},
   note = {Based on RoBERTa by Facebook AI}
 }
 ```