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Update README.md

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@@ -32,7 +32,7 @@ input_sequence = "TCACCGTTCTACAATCCCAAGCTGGAGTCAAGCTCAACAGGGTCTTC"
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  # Tokenize the input sequence
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  input_tokens = tokenizer.encode(input_sequence, return_tensors="pt", add_special_tokens=False)
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- # Generate output from the model with a max sequence length of 32 tokens
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  generated_tokens = model.generate(input_tokens, max_length=32)
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  # Decode the generated output and clean up the result
 
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  # Tokenize the input sequence
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  input_tokens = tokenizer.encode(input_sequence, return_tensors="pt", add_special_tokens=False)
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+ # Generate output from the model
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  generated_tokens = model.generate(input_tokens, max_length=32)
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  # Decode the generated output and clean up the result