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@@ -111,6 +111,7 @@ C-Eval Category Results
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  The XVERSE-13B model can be loaded for inference using the following code:
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  ```python
 
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  >>> from transformers import AutoTokenizer, AutoModelForCausalLM
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  >>> tokenizer = AutoTokenizer.from_pretrained("xverse/XVERSE-13B")
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  >>> model = AutoModelForCausalLM.from_pretrained("xverse/XVERSE-13B", trust_remote_code=True, torch_dtype=torch.float16, device_map='auto')
 
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  The XVERSE-13B model can be loaded for inference using the following code:
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  ```python
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+ >>> import torch
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  >>> from transformers import AutoTokenizer, AutoModelForCausalLM
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  >>> tokenizer = AutoTokenizer.from_pretrained("xverse/XVERSE-13B")
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  >>> model = AutoModelForCausalLM.from_pretrained("xverse/XVERSE-13B", trust_remote_code=True, torch_dtype=torch.float16, device_map='auto')