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---
language: vi
tags:
- vi
- vietnamese
- gpt2
- text-generation
- lm
- nlp
datasets:
- VN-Literature
widget:
- text: >-
Hôm ấy, cụ Bá ông quả quyết mở ví tiền để trả cho anh lái chó cái giấy bạc
một đồng.
---
inference:
parameters:
max_length: 500
do_sample: True
temperature: 0.8
# GPT-2
The GPT2 model is pre-trained on the writing style of Vu Trong Phung
# How to use the model
~~~~
from transformers import GPT2Tokenizer, GPT2LMHeadModel
tokenizer = GPT2Tokenizer.from_pretrained("Khoa/VN-Literature-Generation")
model = GPT2LMHeadModel.from_pretrained("Khoa/VN-Literature-Generation")
text = "Mùa thu lá vàng rơi"
input_ids = tokenizer.encode(text, return_tensors='pt')
max_length = 300
model.to('cpu')
sample_outputs = model.generate(input_ids,pad_token_id=tokenizer.eos_token_id,
do_sample=True,
max_length=max_length,
min_length=max_length,
top_k=40,
num_beams=5,
early_stopping=True,
no_repeat_ngram_size=2,
num_return_sequences=3)
for i, sample_output in enumerate(sample_outputs):
print(">> Generated text {}\n\n{}".format(i+1, tokenizer.decode(sample_output.tolist())))
print('\n---')
~~~~
## Author
`
Dong Dang Khoa
` |