

from transformers import GPTJForCausalLM, AutoTokenizer
import torch
device = "cuda"
model = GPTJForCausalLM.from_pretrained("EleutherAI/gpt-j-6B", torch_dtype=torch.float16).to(device)
tokenizer = AutoTokenizer.from_pretrained("EleutherAI/gpt-j-6B")
prompt = (
     "In a shocking finding, scientists discovered a herd of unicorns living in a remote, "
     "previously unexplored valley, in the Andes Mountains. Even more surprising to the "
     "researchers was the fact that the unicorns spoke perfect English."
 )
input_ids = tokenizer(prompt, return_tensors="pt").input_ids.to(device)
gen_tokens = model.generate(
     input_ids,
     do_sample=True,
     temperature=0.9,
     max_length=100,
 )
gen_text = tokenizer.batch_decode(gen_tokens)[0]