Create README.md
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README.md
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---
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language: vi
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tags:
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- vi
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- vietnamese
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- gpt2
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- text-generation
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- lm
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- nlp
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datasets:
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- oscar
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widget:
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- text: "生命、宇宙、そして万物についての究極の疑問の答えは"
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---
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# How to use the model
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~~~~
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from transformers import GPT2Tokenizer, AutoModelForCausalLM
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tokenizer = GPT2Tokenizer.from_pretrained("nhanv/vi-gpt2")
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model = AutoModelForCausalLM.from_pretrained("nhanv/vi-gpt2")
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~~~~
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# Model architecture
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A 12-layer, 768-hidden-size transformer-based language model.
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