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Khoa/VN-Literature-Generation
VN-Literature-Generation is a text generation model from Khoa. Use it when you need the model to write or continue text. It is set up for transformers.
inference: parameters: maxlength: 500 dosample: True temperature: 0.8
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From the Hugging Face model README
inference: parameters: max_length: 500 do_sample: True temperature: 0.8
The GPT2 model is pre-trained on the writing style of Vu Trong Phung
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---')
Dong Dang Khoa