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@@ -23,6 +23,7 @@ model = AutoModelForCausalLM.from_pretrained("SadokBarbouche/planned.AI-gemma-2b
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  # Load the tokenizer
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  tokenizer = AutoTokenizer.from_pretrained("SadokBarbouche/planned.AI-gemma-2b-it")
 
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  ## Data Preparation
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  The model training data comprises scraped information about various attractions and landmarks from Tunisia. The dataset was carefully curated to encompass a diverse range of destinations, ensuring the model's ability to generate comprehensive trip plans.
 
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  # Load the tokenizer
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  tokenizer = AutoTokenizer.from_pretrained("SadokBarbouche/planned.AI-gemma-2b-it")
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+ ```
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  ## Data Preparation
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  The model training data comprises scraped information about various attractions and landmarks from Tunisia. The dataset was carefully curated to encompass a diverse range of destinations, ensuring the model's ability to generate comprehensive trip plans.