legolasyiu
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Update README.md
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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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"
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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."
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