> 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/fr/notions-de-base/inference-and-deployment/unsloth-inference.md).

# Inférence Unsloth

Découvrez comment exécuter votre modèle fine-tuné avec l'inférence plus rapide d'Unsloth.

Unsloth prend en charge nativement une inférence 2x plus rapide. Pour notre notebook dédié uniquement à l’inférence, cliquez [ici](https://colab.research.google.com/drive/1aqlNQi7MMJbynFDyOQteD2t0yVfjb9Zh?usp=sharing).

Tous les chemins d’inférence QLoRA, LoRA et non LoRA sont 2x plus rapides. Cela ne nécessite aucun changement de code ni aucune nouvelle dépendance.

<pre class="language-python"><code class="lang-python"><strong>from unsloth import FastLanguageModel
</strong>model, tokenizer = FastLanguageModel.from_pretrained(
    model_name = "lora_model", # VOTRE MODÈLE UTILISÉ POUR L’ENTRAÎNEMENT
    max_seq_length = max_seq_length,
    dtype = dtype,
    load_in_4bit = load_in_4bit,
)
FastLanguageModel.for_inference(model) # Activer l’inférence native 2x plus rapide
text_streamer = TextStreamer(tokenizer)
_ = model.generate(**inputs, streamer = text_streamer, max_new_tokens = 64)
</code></pre>

#### NotImplementedError: une locale UTF-8 est requise. ANSI trouvée

Parfois, lorsque vous exécutez une cellule [cette erreur](https://github.com/googlecolab/colabtools/issues/3409) peut apparaître. Pour résoudre ce problème, dans une nouvelle cellule, exécutez ce qui suit :

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


---

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