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---
language: vi
tags:
- vi
- vietnamese
- gpt2
- gpt3
- text-generation
- lm
- nlp
datasets:
- wikilinguage
widget:
- text: "Hoa quả và rau thường rẻ hơn khi vào mùa. "
inference:
parameters:
max_length: 120
do_sample: True
temperature: 1.0
---
# GPT-3 small
Pretrained GPT Neo (GPT-3 small) , it's architecture intentionally resembles that of GPT-3, model was trained on Vietnamese dataset for text generation
# How to use the model
~~~~
from transformers import GPT2Tokenizer, GPTNeoForCausalLM
tokenizer = GPT2Tokenizer.from_pretrained('minhtoan/gpt3-small-vietnamese')
model = GPTNeoForCausalLM.from_pretrained('minhtoan/gpt3-small-vietnamese')
text = "Hoa quả và rau thường rẻ hơn khi vào mùa"
input_ids = tokenizer.encode(text, return_tensors='pt')
max_length = 100
sample_outputs = model.generate(input_ids, do_sample=True, max_length=max_length)
for i, sample_output in enumerate(sample_outputs):
print(">> Generated text {}\n\n{}".format(i+1, tokenizer.decode(sample_output.tolist())))
print('\n---')
~~~~
## Author
`
Phan Minh Toan
` |