Update README.md

README.md

@@ -20,14 +20,14 @@ tags:
 
 [![Dejan AI Logo](https://dejan.ai/wp-content/uploads/2024/02/dejan.png)](https://dejan.ai/blog/grounding-classifier/)
 
-# Prompt Grounding Classifier — DeBERTa v3 Large (Fine-Tuned)
+# Prompt Grounding Classifier
 
 This model predicts whether a prompt **requires grounding** in external sources like web search, databases, or RAG pipelines.
 
 It was fine-tuned from [microsoft/deberta-v3-large](https://huggingface.co/microsoft/deberta-v3-large) using binary labels:
 
 - `1` = grounding required  
-- `0` = self-contained prompt
+- `0` = grounding not required
 
 ---
 
@@ -69,8 +69,8 @@ This classifier acts as a **routing layer** in an LLM pipeline, helping decide:
 from transformers import AutoTokenizer, AutoModelForSequenceClassification
 import torch.nn.functional as F
 
-model = AutoModelForSequenceClassification.from_pretrained("dejan/deberta-grounding-classifier")
-tokenizer = AutoTokenizer.from_pretrained("dejan/deberta-grounding-classifier")
+model = AutoModelForSequenceClassification.from_pretrained("dejanseo/query-grounding")
+tokenizer = AutoTokenizer.from_pretrained("dejanseo/query-grounding")
 
 prompt = "What time is the next train from Tokyo to Osaka?"
 inputs = tokenizer(prompt, return_tensors="pt")