--- license: openrail language: - en library_name: transformers tags: - history - quotes - gpt2 datasets: - A-Roucher/english_historical_quotes pipeline_tag: text-generation --- # Model Description This model was finetuned on the Dataset[A-Roucher/english_historical_quotes](https://huggingface.co/datasets/A-Roucher/english_historical_quotes) using the model [gpt2-large](https://huggingface.co/gpt2-large]) # Example Use cases
from transformers import pipeline
pipe = pipeline("text-generation", model="damerajee/gpt2-large-hist-quotes-2")
prompt = "write a quote based on business"
generated_quote = pipe(prompt,top_k=2, temperature=2.0,repetition_penalty=2.0)[0]['generated_text']
print('\n\n', generated_quote)