damerajee/gpt2-large-hist-quotes-2

Model Description

This model was finetuned on the DatasetA-Roucher/english_historical_quotes using the model 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)

Streaming option

from transformers import import AutoModelForCausalLM, AutoTokenizer, TextStreamer, pipeline
streamer = TextStreamer(tokenzier, skip_prompt=True)
pipe = pipeline(
    "text-generation",
    model=model,
    tokenizer=tokenzier,
    max_length=40,
    temperature=0.6,
    pad_token_id=tokenzier.eos_token_id,
    top_p=0.95,
    repetition_penalty=1.2,
    streamer=streamer
)
pipe("write a quote based on war and business")