| # test_agent_1.py | |
| from transformers import GPT2LMHeadModel, GPT2Tokenizer | |
| tokenizer = GPT2Tokenizer.from_pretrained("./tiny-gpt") | |
| model = GPT2LMHeadModel.from_pretrained("./tiny-gpt") | |
| prompt = "Once upon a time" | |
| inputs = tokenizer(prompt, return_tensors="pt") | |
| outputs = model.generate(**inputs, max_length=50) | |
| print(tokenizer.decode(outputs[0], skip_special_tokens=True)) | |