Update README.md

README.md

@@ -18,8 +18,22 @@ license: apache-2.0
 I just made a fine-tune of [SmolLM2 135M](https://huggingface.co/HuggingFaceTB/SmolLM2-135M-Instruct) on the [GSM8K](https://huggingface.co/openai/gsm8k) dataset
 and it does improve math sometimes.
 ## Evaluation Results
-
 | Metric | Value |
 | :----- | :--------: |
 | **Loss** | 1.284519 |
-| **Steps** | 2805 |
+| **Steps** | 2805 |
+## How to Use
+This code is by Gemini 3 Flash:
+```
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model_name = "MihaiPopa-1/SmolLM2-135M-Math" # Replace with your repo path
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name)
+
+prompt = "Question: If John has 5 apples and eats 2, then buys 4 more, how many does he have?\nAnswer:"
+inputs = tokenizer(prompt, return_tensors="pt")
+outputs = model.generate(**inputs, max_new_tokens=50)
+
+print(tokenizer.decode(outputs[0], skip_special_tokens=True))
+```