Add an example

README.md

@@ -20,3 +20,25 @@ language:
 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)
+
+# Example
+
+``` python
+from unsloth import FastLanguageModel
+
+model, tokenizer = FastLanguageModel.from_pretrained(
+    model_name="msfm/llm-jp-3-13b-ichikara_all",
+    dtype=dtype,
+    load_in_4bit=True,
+    trust_remote_code=True,
+)
+FastLanguageModel.for_inference(model)
+
+input = "野球選手が今シーズン活躍するために取り組むべき5つのことを教えてください。"
+
+prompt = f"""### 指示\n{input}\n### 回答\n"""
+
+inputs = tokenizer([prompt], return_tensors = "pt").to(model.device)
+outputs = model.generate(**inputs, max_new_tokens = 2048, use_cache = True, do_sample=False, repetition_penalty=1.2)
+prediction = tokenizer.decode(outputs[0], skip_special_tokens=True).split('\n### 回答')[-1]
+```