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Update README.md

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@@ -73,7 +73,7 @@ The fastest way to get started with DRAGON is through direct import in transform
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  from transformers import AutoTokenizer, AutoModelForCausalLM
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  tokenizer = AutoTokenizer.from_pretrained("dragon-deci-6b-v0")
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- model = AutoModelForCausalLM.from_pretrained("dragon-llama-6b-v0")
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  Please refer to the generation_test .py files in the Files repository, which includes 200 samples and script to test the model. The **generation_test_llmware_script.py** includes built-in llmware capabilities for fact-checking, as well as easy integration with document parsing and actual retrieval to swap out the test set for RAG workflow consisting of business documents.
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  from transformers import AutoTokenizer, AutoModelForCausalLM
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  tokenizer = AutoTokenizer.from_pretrained("dragon-deci-6b-v0")
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+ model = AutoModelForCausalLM.from_pretrained("dragon-deci-6b-v0")
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  Please refer to the generation_test .py files in the Files repository, which includes 200 samples and script to test the model. The **generation_test_llmware_script.py** includes built-in llmware capabilities for fact-checking, as well as easy integration with document parsing and actual retrieval to swap out the test set for RAG workflow consisting of business documents.
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