| # Quick Inference Example | |
| from transformers import AutoModelForCausalLM, AutoTokenizer | |
| import torch | |
| # Load the model | |
| model = AutoModelForCausalLM.from_pretrained("kalkiai3000/mathAI-Gemma") | |
| tokenizer = AutoTokenizer.from_pretrained("kalkiai3000/mathAI-Gemma") | |
| # Example problem | |
| prompt = """Question: Solve for x: 2x² + 5x - 3 = 0 | |
| Let me solve this step by step: | |
| """ | |
| inputs = tokenizer(prompt, return_tensors="pt") | |
| outputs = model.generate(**inputs, max_new_tokens=256, temperature=0.7) | |
| result = tokenizer.decode(outputs[0], skip_special_tokens=True) | |
| print(result) | |