metadata
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
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
from transformers import AutoModelForCausalLM, AutoTokenizer
import torch
tokenizer = AutoTokenizer.from_pretrained("jinymusim/gpt-czech-poet-our")
model = AutoModelForCausalLM.from_pretrained("jinymusim/gpt-czech-poet-our")
# 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)