Update README.md

README.md

@@ -23,15 +23,15 @@ Fine-tuned Gemma 270M-IT for d-separation causal reasoning using semantic loss w
 ```python
 from transformers import AutoTokenizer, AutoModelForCausalLM
 
-model = AutoModelForCausalLM.from_pretrained("your-username/gemma-dseparation-semantic-v2")
-tokenizer = AutoTokenizer.from_pretrained("your-username/gemma-dseparation-semantic-v2")
+model = AutoModelForCausalLM.from_pretrained("ludwigw/gemma-dseparation-semantic-v2")
+tokenizer = AutoTokenizer.from_pretrained("ludwigw/gemma-dseparation-semantic-v2")
 ```
 
 ## Citation
 ```bibtex
-@article{deshmukh2024semantic,
+@article{deshmukh2026semantic,
   title={On Semantic Loss Fine-Tuning Approach for Preventing Model Collapse in Causal Reasoning},
   author={Deshmukh, Pratik and Gupta, Atirek},
-  year={2024}
+  year={2026}
 }
 ```