# 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)