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Update README.md

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@@ -37,7 +37,7 @@ from transformers import AutoTokenizer, AutoModelForCausalLM
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  # Load the tokenizer and model
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  tokenizer = AutoTokenizer.from_pretrained("your-organization/spec-1-mini")
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- model = AutoModelForCausalLM.from_pretrained("svector/spec-1-mini")
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  # Example usage
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  input_text = "What is the purpose of Spec-1-Mini?"
 
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  # Load the tokenizer and model
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  tokenizer = AutoTokenizer.from_pretrained("your-organization/spec-1-mini")
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+ model = AutoModelForCausalLM.from_pretrained("SVECTOR-CORPORATION/Spec-1-Mini")
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  # Example usage
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  input_text = "What is the purpose of Spec-1-Mini?"