load_model.py

from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline

model = AutoModelForCausalLM.from_pretrained("h2oai/h2o-danube2-1.8b-chat")
tokenizer = AutoTokenizer.from_pretrained("h2oai/h2o-danube2-1.8b-chat")

pipe = pipeline("text-generation", model=model, tokenizer=tokenizer, max_new_tokens=1024, repetition_penalty=1.2, temperature=0.4)