Update README.md

README.md

@@ -20,8 +20,8 @@ To load StellarX using the Hugging Face Transformers library, you can use the fo
 ```python
 from transformers import AutoTokenizer, AutoModelForCausalLM
 
-tokenizer = AutoTokenizer.from_pretrained("Dampish/StellarX-4B-V0_base")
-model = AutoModelForCausalLM.from_pretrained("Dampish/StellarX-4B-V0_base")
+tokenizer = AutoTokenizer.from_pretrained("Dampish/StellarX-4B-V0")
+model = AutoModelForCausalLM.from_pretrained("Dampish/StellarX-4B-V0")
 ```
 
 This model is particularly beneficial for those seeking a language model that is powerful, compact, and can be run on local devices without a hefty carbon footprint. Remember, when considering Darius1, it's not just about the impressive numbers—it's about what these numbers represent: powerful performance, optimized resources, and responsible computing.