Update README.md

README.md

@@ -21,4 +21,22 @@ datasets:
 
 This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
 
-[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
+[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
+
+
+
+```python
+# 例: Pythonコード
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+# モデルのロード
+model = AutoModelForCausalLM.from_pretrained("model_name")
+tokenizer = AutoTokenizer.from_pretrained("model_name")
+
+# テキスト生成
+input_text = "こんにちは、世界！"
+inputs = tokenizer(input_text, return_tensors="pt")
+outputs = model.generate(**inputs)
+print(tokenizer.decode(outputs[0]))
+
+