metadata

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

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