| 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])) | |