Note: default code snippet above won't work because we are using AlbertTokenizer with GPT2LMHeadModel, see issue.
GPT2 124M Trained on Ukranian Fiction
Example usage:
from transformers import AlbertTokenizer, GPT2LMHeadModel
tokenizer = AlbertTokenizer.from_pretrained("Tereveni-AI/gpt2-124M-uk-fiction")
model = GPT2LMHeadModel.from_pretrained("Tereveni-AI/gpt2-124M-uk-fiction")
input_ids = tokenizer.encode('Но зла Юнона, суча дочка,', add_special_tokens=False, return_tensors='pt')
outputs = model.generate(
input_ids,
do_sample=True,
num_return_sequences=3,
max_length=50
)
for i, out in enumerate(outputs):
print('{}: {}'.format(i, tokenizer.decode(out)))