README.md

---
license: afl-3.0
language: uk
---
## GPT2 being trained on Ukrainian news.

### General info:
The model is not ready yet but I'm working on it. It also has a relatively small context window, which makes it quite uninteresting.

### Example of usage:
```python
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("kyryl0s/gpt2-uk-xxs")
model = AutoModelForCausalLM.from_pretrained("kyryl0s/gpt2-uk-xxs")
input_ids = tokenizer.encode("Путін — ", 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)))
    
```