nicholasKluge
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Update README.md
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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)
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