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---
language: vi
tags:
- vi
- vietnamese
- gpt2
- text-generation
- lm
- nlp
datasets:
- oscar
widget:
- text: "生命、宇宙、そして万物についての究極の疑問の答えは"
---
# GPT-2
Pretrained model on Vietnamese language using a causal language modeling (CLM) objective. It was introduced in
[this paper](https://d4mucfpksywv.cloudfront.net/better-language-models/language_models_are_unsupervised_multitask_learners.pdf)
and first released at [this page](https://openai.com/blog/better-language-models/).
# How to use the model
~~~~
from transformers import GPT2Tokenizer, AutoModelForCausalLM
tokenizer = GPT2Tokenizer.from_pretrained("nhanv/vi-gpt2")
model = AutoModelForCausalLM.from_pretrained("nhanv/vi-gpt2")
~~~~
# Model architecture
A 12-layer, 768-hidden-size transformer-based language model.
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