Text Generation
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nicholasKluge commited on
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Update README.md

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@@ -77,8 +77,8 @@ import torch
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  device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
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- tokenizer = AutoTokenizer.from_pretrained('nicholasKluge/Aira-2-124M')
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- aira = AutoModelForCausalLM.from_pretrained('nicholasKluge/Aira-2-124M')
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  aira.eval()
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  aira.to(device)
 
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  device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
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+ tokenizer = AutoTokenizer.from_pretrained('nicholasKluge/Aira-2-124M-DPO')
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+ aira = AutoModelForCausalLM.from_pretrained('nicholasKluge/Aira-2-124M-DPO')
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  aira.eval()
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  aira.to(device)