---
license: mit
language:
- cs
pipeline_tag: text-generation
widget:
  - text: "ABBA # 1900 # T"
    example_title: "ABBA Rhyme Schema"
  - text: "ABAB # 1920 # D"
    example_title: "ABAB Rhyme Schema"
  - text: "AABB # 1900 # T"
    example_title: "AABB Rhyme Schema"
  - text: "AABCCB # 1880 # J"
    example_title: "AABCCB Rhyme Schema"
---

### 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

## 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 # D"
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,
                                num_beams=8,
                                no_repeat_ngram_size=2,
                                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)
```