| from transformers import AutoModelForCausalLM, AutoTokenizer | |
| class HelloWorldModel(AutoModelForCausalLM): | |
| def __init__(self, config): | |
| super().__init__(config) | |
| def forward(self, input_ids, **kwargs): | |
| return {"logits": input_ids} | |
| def generate_text(prompt): | |
| model = HelloWorldModel.from_pretrained(".") | |
| tokenizer = AutoTokenizer.from_pretrained(".") | |
| inputs = tokenizer(prompt, return_tensors="pt") | |
| outputs = model.generate(**inputs) | |
| return tokenizer.decode(outputs[0], skip_special_tokens=True) | |
| if __name__ == "__main__": | |
| prompt = "hello" | |
| print(generate_text(prompt)) |