from transformers import AutoModelForCausalLM, AutoTokenizer

# Load tokenizer and model manually
tokenizer = AutoTokenizer.from_pretrained("Omartificial-Intelligence-Space/Arabic-QWQ-32B-Preview")
model = AutoModelForCausalLM.from_pretrained("Omartificial-Intelligence-Space/Arabic-QWQ-32B-Preview")

# Manually perform text generation
inputs = tokenizer("Generate text example:", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)

# Decode the output
print(tokenizer.decode(outputs[0]))