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@@ -53,8 +53,8 @@ Users should critically evaluate the model's outputs and consider the context in
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  ```python
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  from transformers import AutoModelForCausalLM, AutoTokenizer
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- tokenizer = AutoTokenizer.from_pretrained("your-hf-username/clinical-llama-7b")
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- model = AutoModelForCausalLM.from_pretrained("your-hf-username/clinical-llama-7b")
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  input_text = "Summarize the following clinical study on..."
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  inputs = tokenizer(input_text, return_tensors="pt")
 
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  ```python
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  from transformers import AutoModelForCausalLM, AutoTokenizer
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+ tokenizer = AutoTokenizer.from_pretrained("dextersud/sudbits_llama_pharma_clincal_model")
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+ model = AutoModelForCausalLM.from_pretrained("dextersud/sudbits_llama_pharma_clincal_model")
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  input_text = "Summarize the following clinical study on..."
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  inputs = tokenizer(input_text, return_tensors="pt")