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Update README.md

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@@ -84,13 +84,13 @@ import torch
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  from transformers import AutoModelForCausalLM, AutoTokenizer
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  # Your model's ID on the Hugging Face Hub
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- # (In your case: "chachinggg/Mistral-ai-RLHF")
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- model_id = "YOUR_MODEL_ID_ON_HUB"
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  # Load the tokenizer
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  # (The padding settings from cell 3 of your notebook
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  # should be saved with the model)
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- tokenizer = AutoTokenizer.from_pretrained(model_id)
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  # Load the model (the base model, not the classification head from cell 5)
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  # Use the bfloat16 dtype as specified in your notebook
 
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  from transformers import AutoModelForCausalLM, AutoTokenizer
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  # Your model's ID on the Hugging Face Hub
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+
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+ model_id = "chachinggg/Mistral-ai-RLHF"
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  # Load the tokenizer
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  # (The padding settings from cell 3 of your notebook
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  # should be saved with the model)
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+ tokenizer = AutoTokenizer.from_pretrained(Mistral-7B-Instruct-v0.2)
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  # Load the model (the base model, not the classification head from cell 5)
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  # Use the bfloat16 dtype as specified in your notebook