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1 import torch
2 from transformers import GPT2TokenizerFast
3 from modeling_gptr import GPTRForCausalLM
4
5 model = GPTRForCausalLM.from_pretrained("aitetic/gptr-noomo-0.3b", local_files_only=False)
6 tokenizer = GPT2TokenizerFast.from_pretrained(f"aitetic/gptr-noomo-0.3b", local_files_only=False)
7
8 prompt = "The future of AI is"
9 input_ids = tokenizer(prompt, return_tensors="pt")
10
11 generated_ids = model.generate(
12 input_ids,
13 max_new_tokens=120,
14 do_sample=False,
15 eos_token_id=tokenizer.eos_token_id
16 )
17
18 output_ids = generated_ids[0].detach().cpu().tolist()
19 print("Generated:", tokenizer.decode(output_ids, skip_special_tokens=True))