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Update README.md

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@@ -104,7 +104,7 @@ You can also use `float32` if you skip the dtype, but no precision increase will
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  from transformers import AutoTokenizer, AutoModelForCausalLM
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  tokenizer = AutoTokenizer.from_pretrained("google/gemma-2-2b-it")
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  model = AutoModelForCausalLM.from_pretrained(
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- "google/gemma-2-2b-it",
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  device_map="auto",
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  )
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  input_text = "Write me a poem about Machine Learning."
 
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  from transformers import AutoTokenizer, AutoModelForCausalLM
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  tokenizer = AutoTokenizer.from_pretrained("google/gemma-2-2b-it")
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  model = AutoModelForCausalLM.from_pretrained(
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+ "EpistemeAI/Athena-gemma-2-2b-it",
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  device_map="auto",
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  )
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  input_text = "Write me a poem about Machine Learning."