| import torch | |
| from transformers import AutoTokenizer, AutoModelForCausalLM | |
| tokenizer = AutoTokenizer.from_pretrained("Mayank-22/Mayank-AI") | |
| model = AutoModelForCausalLM.from_pretrained("Mayank-22/Mayank-AI") | |
| # Example usage | |
| prompt = input("Ask: ") | |
| inputs = tokenizer(prompt, return_tensors="pt") | |
| # Generate text | |
| outputs = model.generate(**inputs, max_length=50) | |
| print(tokenizer.decode(outputs[0], skip_special_tokens=True)) |