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Update README.md

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@@ -20,8 +20,8 @@ To load StellarX using the Hugging Face Transformers library, you can use the fo
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  ```python
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  from transformers import AutoTokenizer, AutoModelForCausalLM
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- tokenizer = AutoTokenizer.from_pretrained("Dampish/StellarX-4B-V0_base")
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- model = AutoModelForCausalLM.from_pretrained("Dampish/StellarX-4B-V0_base")
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  ```
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  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.
 
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  ```python
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  from transformers import AutoTokenizer, AutoModelForCausalLM
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+ tokenizer = AutoTokenizer.from_pretrained("Dampish/StellarX-4B-V0")
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+ model = AutoModelForCausalLM.from_pretrained("Dampish/StellarX-4B-V0")
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  ```
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  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.