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@@ -13,8 +13,8 @@ This repository contains a fine-tuned version of the Gemma model, which is part
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  You can use this fine-tuned model like any other HuggingFace model. Simply load it using the `from_pretrained` method:
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- ```python
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  from transformers import AutoModelForCausalLM, AutoTokenizer
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  model = AutoModelForCausalLM.from_pretrained("huggingface-username/gemma-fine-tuned")
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- tokenizer = AutoTokenizer.from_pretrained("huggingface-username/gemma-fine-tuned")%%
 
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  You can use this fine-tuned model like any other HuggingFace model. Simply load it using the `from_pretrained` method:
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+
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  from transformers import AutoModelForCausalLM, AutoTokenizer
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  model = AutoModelForCausalLM.from_pretrained("huggingface-username/gemma-fine-tuned")
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+ tokenizer = AutoTokenizer.from_pretrained("huggingface-username/gemma-fine-tuned")