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@@ -21,8 +21,8 @@ You can use this model, Below is an example of how to load and use the model:
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  ```python
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  from transformers import AutoModelForCausalLM, AutoTokenizer
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- tokenizer = AutoTokenizer.from_pretrained("username/Gemma_model_fine_tune_custom_Data")
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- model = AutoModelForCausalLM.from_pretrained("username/Gemma_model_fine_tune_custom_Data")
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  input_text = "Your input text here"
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  inputs = tokenizer(input_text, return_tensors="pt")
 
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  ```python
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  from transformers import AutoModelForCausalLM, AutoTokenizer
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+ tokenizer = AutoTokenizer.from_pretrained("iot/Gemma_model_fine_tune_custom_Data")
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+ model = AutoModelForCausalLM.from_pretrained("iot/Gemma_model_fine_tune_custom_Data")
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  input_text = "Your input text here"
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  inputs = tokenizer(input_text, return_tensors="pt")