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README.md
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@@ -18,7 +18,7 @@ For more information, please contact [email protected] (Dương) / imtha
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from transformers import AutoTokenizer, AutoModelForCausalLM
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tokenizer = AutoTokenizer.from_pretrained("VietAI/gpt-neo-1.3B-vietnamese-news")
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model = AutoModelForCausalLM.from_pretrained("VietAI/gpt-neo-1.3B-vietnamese-news")
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device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
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model.to(device)
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from transformers import AutoTokenizer, AutoModelForCausalLM
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tokenizer = AutoTokenizer.from_pretrained("VietAI/gpt-neo-1.3B-vietnamese-news")
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model = AutoModelForCausalLM.from_pretrained("VietAI/gpt-neo-1.3B-vietnamese-news", low_cpu_mem_usage=True)
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device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
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model.to(device)
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