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README.md
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Details will be available soon.
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For more information, please contact [email protected] (Dương) / [email protected] (Thành) / [email protected] (Bình).
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Details will be available soon.
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For more information, please contact [email protected] (Dương) / [email protected] (Thành) / [email protected] (Bình).
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### How to use
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```python
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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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prompt = "Tiềm năng của trí tuệ nhân tạo" # your input sentence
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input_ids = tokenizer(prompt, return_tensors="pt")['input_ids'].to(device)
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gen_tokens = model.generate(
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input_ids,
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max_length=max_length,
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do_sample=True,
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temperature=0.9,
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top_k=20,
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)
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gen_text = tokenizer.batch_decode(gen_tokens)[0]
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print(gen_text)
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```
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