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Update model card

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  1. README.md +0 -6
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@@ -31,12 +31,6 @@ Multiclass-Think-RM addresses limitations of conventional reward models by incor
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  To evaluate the model, please use the following prompt template:
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  ```python
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- from transformers import AutoTokenizer, AutoModelForCausalLM
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-
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- model_name = "ilgee/Multiclass-Think-RM-8B"
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- tokenizer = AutoTokenizer.from_pretrained(model_name)
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- model = AutoModelForCausalLM.from_pretrained(model_name, torch_dtype="auto")
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-
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  system_msg = (
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  "You are an impartial judge, tasked with evaluating the quality of the two AI assistants' responses to the context displayed below. "
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  "Your evaluation should be based on the following six criteria:\n\n"
 
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  To evaluate the model, please use the following prompt template:
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  ```python
 
 
 
 
 
 
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  system_msg = (
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  "You are an impartial judge, tasked with evaluating the quality of the two AI assistants' responses to the context displayed below. "
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  "Your evaluation should be based on the following six criteria:\n\n"