> For the complete documentation index, see [llms.txt](https://unsloth.ai/docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://unsloth.ai/docs/jp/ji-ben/inference-and-deployment/unsloth-inference.md).

# Unsloth 推論

Unsloth はネイティブで推論を2x高速化します。推論専用ノートブックについては、をクリックしてください [ここ](https://colab.research.google.com/drive/1aqlNQi7MMJbynFDyOQteD2t0yVfjb9Zh?usp=sharing).

すべての QLoRA、LoRA、および非 LoRA の推論経路が2x高速になります。これはコードの変更や新しい依存関係を必要としません。

<pre class="language-python"><code class="lang-python"><strong>from unsloth import FastLanguageModel
</strong>model, tokenizer = FastLanguageModel.from_pretrained(
    model_name = "lora_model", # トレーニングに使用したあなたのモデル
    max_seq_length = max_seq_length,
    dtype = dtype,
    load_in_4bit = load_in_4bit,
)
FastLanguageModel.for_inference(model) # ネイティブな2x高速推論を有効化
text_streamer = TextStreamer(tokenizer)
_ = model.generate(**inputs, streamer = text_streamer, max_new_tokens = 64)
</code></pre>

#### NotImplementedError: UTF-8 ロケールが必要です。ANSI が検出されました

セルを実行するときに [このエラーが](https://github.com/googlecolab/colabtools/issues/3409) 発生することがあります。これを解決するには、新しいセルで次を実行してください：

```python
import locale
locale.getpreferredencoding = lambda: "UTF-8"
```


---

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