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Update README.md

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@@ -43,12 +43,12 @@ import torch
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  from transformers import AutoTokenizer, AutoModelForCausalLM
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  # Load Code Generator LLM and tokenizer from checkpoint
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- tokenizer = AutoTokenizer.from_pretrained("DeathReaper0965/gpt2_large_code_generator/", )
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- model = AutoModelForCausalLM.from_pretrained("DeathReaper0965/gpt2_large_code_generator/")
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-
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  model = model.to("cuda" if torch.cuda.is_available() else "cpu")
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- inputs = tokenizer("def hello_world():", return_tensors="pt").to("cuda")
 
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  outputs = model.generate(**inputs,
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  max_new_tokens= 30,
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  temperature= 0.5,
 
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  from transformers import AutoTokenizer, AutoModelForCausalLM
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  # Load Code Generator LLM and tokenizer from checkpoint
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+ tokenizer = AutoTokenizer.from_pretrained("DeathReaper0965/gpt2_large_code_generator")
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+ model = AutoModelForCausalLM.from_pretrained("DeathReaper0965/gpt2_large_code_generator")
 
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  model = model.to("cuda" if torch.cuda.is_available() else "cpu")
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+ inputs = tokenizer("def hello_world():", return_tensors="pt").to("cuda" if torch.cuda.is_available() else "cpu")
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+
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  outputs = model.generate(**inputs,
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  max_new_tokens= 30,
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  temperature= 0.5,