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Update README.md

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@@ -23,9 +23,9 @@ You can use this model directly with a pipeline for text generation. This exampl
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  from transformers import AutoModelForCausalLM, AutoTokenizer, FlaxAutoModelForCausalLM
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- model = AutoModelForCausalLM.from_pretrained("flax-community/gpt-neo-125M-code-clippy-code-search-py")
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- tokenizer = AutoTokenizer.from_pretrained("flax-community/gpt-neo-125M-code-clippy-code-search-py")
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  prompt = """def greet(name):
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  '''A function to greet user. Given a user name it should say hello'''
 
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  from transformers import AutoModelForCausalLM, AutoTokenizer, FlaxAutoModelForCausalLM
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+ model = AutoModelForCausalLM.from_pretrained("flax-community/gpt-neo-125M-code-clippy-dedup")
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+ tokenizer = AutoTokenizer.from_pretrained("flax-community/gpt-neo-125M-code-clippy-dedup")
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  prompt = """def greet(name):
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  '''A function to greet user. Given a user name it should say hello'''