update readme

README.md

@@ -8,7 +8,7 @@ This is the out-of-context detection model from our work:
 
 [**RAGulator: Lightweight Out-of-Context Detectors for Grounded Text Generation**](https://arxiv.org/abs/2411.03920)
 
-This repository contains model files for the deberta-v3-large variant of RAGulator. Code can be found [here]().
+This repository contains model files for the deberta-v3-large variant of RAGulator. Code can be found [here](https://github.com/ipoeyke/RAGulator).
 
 ## Key Points
 * RAGulator predicts whether a sentence is out-of-context (OOC) from retrieved text documents in a RAG setting.
@@ -92,7 +92,7 @@ pip install "ragulator @ git+https://github.com/ipoeyke/RAGulator.git@main"
 from ragulator import RAGulator
 
 model = RAGulator(
-    model_variant='deberta-v3-large', # only value supported for now
+    model_name='deberta-v3-large', # only value supported for now
     batch_size=32,
     device='cpu'
 )