Python, Chatbots, Transformers, ChatGPT, Programming.
return_tensors="pt") # Generate response with torch.no_grad(): output = model.generate(input_ids, max_length=max_length, num_return_sequences=1, pad_token_id=50256) response = tokenizer.decode(output[0], skip_special_tokens=True) return response Step 3: Implementing the Chat Loop Now, let’s create