Model card for RoGPT2-base
language: - ro
RoGPT2: Romanian GPT2 for text generation
All models are available:
How to use
~~from transformers import AutoTokenizer, TFAutoModelWithLMHead
tokenizer = AutoTokenizer.from_pretrained('readerbench/RoGPT2-base')
model = TFAutoModelWithLMHead.from_pretrained('readerbench/RoGPT2-base')
inputs = tokenizer.encode("Este o zi de vara", return_tensors='tf')
text = model.generate(inputs, max_length=1024, no_repeat_ngram_size=2)
print(tokenizer.decode(text[0]))~~