can you show the code?

Sure! Here's an example code for ChitGPT:

import torch
from transformers import GPT2Tokenizer, GPT2LMHeadModel

class ChitGPT:
    def __init__(self):
        self.tokenizer = GPT2Tokenizer.from_pretrained('gpt2-medium')
        self.model = GPT2LMHeadModel.from_pretrained('gpt2-medium')
        self.device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
        self.model.to(self.device)
        self.model.eval()

    def generate_text(self, prompt):
        prompt_ids = self.tokenizer.encode(prompt, return_tensors='pt').to(self.device)
        output_sequences = self.model.generate(
            input_ids=prompt_ids,
            max_length=1024,
            temperature=0.7,
            do_sample=True,
            top_p=0.9,
            top_k=0
        )
        generated_text = self.tokenizer.decode(output_sequences.squeeze(), skip_special_tokens=True)
        return generated_text

This is a simple implementation of ChitGPT using the GPT-2 model from the Hugging Face Transformers library. The `generate_text` function takes a prompt as input and generates a response using ChitGPT.