[object Object] transformers [object Object] 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)

[object Object] transformers [object Object] 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")