```python
def print_hello_numbers(numbers):
    if num < num:
        return num
    elif num % num % num % num % num % num % num % num % num % num % num % num % num % num % num % num % num

#Here is a code that generates random number in python 3:

```python
def generate_random_number(num):
    # Create a new random number between 1 and 1
    random_number = random.randint(num)
    random_number = random.randint(num)
    random_number = random.randint(num)

    # Create a new

from transformers import pipeline

# Pipeline
pipe = pipeline(
    "text-generation",
    model="Bertug1911/BrtGPT-1-Pre-Code",
    trust_remote_code=True,
    top_k=40,              # Good for creativity
    temperature=0.8,       # Good for creativity
    max_new_tokens=128     # Default maximum model output (Maximum 1024)
)

# Messages
messages = [
    {"role": "user", "content": "What is the capital of France?"},
]

# Take out
output = pipe(messages)

# Only write asistant's (Model output) answer
assistant_response = output[0]["generated_text"][-1]["content"].strip()
# Special token conversions
formatted_out = assistant_response.replace(" ", "").replace("Ġ", " ").replace("Ċ", "\n")

print(formatted_out)