---
license: cc-by-sa-4.0
language:
- cs
pipeline_tag: text-generation
widget:
- text: '# ABBA # 1900'
  example_title: ABBA Rhyme Schema
- text: '# ABAB # 1920'
  example_title: ABAB Rhyme Schema
- text: '# AABB # 1900'
  example_title: AABB Rhyme Schema
- text: '# AABCCB # 1880'
  example_title: AABCCB Rhyme Schema
base_model:
- lchaloupsky/czech-gpt2-oscar
---

### Czech Poetry GPT
GPT2 finetuned on Czech poetry from github project by  
Institute of Czech Literature, Czech Academy of Sciences.

https://github.com/versotym/corpusCzechVerse

Done using GPT-Czech-Poet

https://github.com/jinymusim/GPT-Czech-Poet

https://arxiv.org/abs/2407.12790

## Usage

Use as any other GPT2 style model 

```python
from transformers import AutoModelForCausalLM, AutoTokenizer
import torch

tokenizer = AutoTokenizer.from_pretrained("jinymusim/gpt-czech-poet")
model = AutoModelForCausalLM.from_pretrained("jinymusim/gpt-czech-poet")

# Input Poet Start
poet_start = "# AABB # 1900\nD"
poet_start = poet_start.strip()
tokenized_poet_start = tokenizer.encode(poet_start, return_tensors='pt')

# generated a continuation to it
out = model.generate(tokenized_poet_start, 
                                max_length=256,
                                do_sample=True,
                                top_k=50
                                early_stopping=True,
                                pad_token_id= tokenizer.pad_token_id,
                                eos_token_id = tokenizer.eos_token_id)

# Decode Poet
decoded_cont = tokenizer.decode(out[0], skip_special_tokens=True)

print(decoded_cont)
```