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@@ -46,8 +46,8 @@ This model is designed for use in text-generation pipelines and can be easily in
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  from transformers import AutoTokenizer, AutoModelForCausalLM
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  # Load the model and tokenizer
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- tokenizer = AutoTokenizer.from_pretrained("unsloth/Llama-3.2-3B-Instruct-bnb-4bit")
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- model = AutoModelForCausalLM.from_pretrained("unsloth/Llama-3.2-3B-Instruct-bnb-4bit")
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  # Generate text
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  input_text = "Explain the benefits of AI in education."
 
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  from transformers import AutoTokenizer, AutoModelForCausalLM
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  # Load the model and tokenizer
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+ tokenizer = AutoTokenizer.from_pretrained("iFaz/llama32_3B_en_emo_v1")
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+ model = AutoModelForCausalLM.from_pretrained("iFaz/llama32_3B_en_emo_v1")
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  # Generate text
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  input_text = "Explain the benefits of AI in education."