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lawma-70b

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@@ -43,7 +43,7 @@ solutions to such classification problems have rich and important applications i
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  ```python
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  from transformers import AutoModelForCausalLM, AutoTokenizer
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- model_dir = "ricdomolm/lawma-8b"
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  tokenizer = AutoTokenizer.from_pretrained(model_dir)
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  model = AutoModelForCausalLM.from_pretrained(model_dir)
 
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  ```python
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  from transformers import AutoModelForCausalLM, AutoTokenizer
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+ model_dir = "ricdomolm/lawma-70b"
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  tokenizer = AutoTokenizer.from_pretrained(model_dir)
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  model = AutoModelForCausalLM.from_pretrained(model_dir)