> For the complete documentation index, see [llms.txt](https://docs.roboflow.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.roboflow.com/roboflow/roboflow-jp/deploy/serverless-hosted-api-v2/use-with-python-sdk.md).

# Python SDK で使用

Python で作業している場合、Serverless API とやり取りする最も便利な方法は、Inference Python SDK を使用することです。

を使用するには [Inference SDK](https://inference.roboflow.com/inference_helpers/inference_sdk/)、まずインストールします:

```
pip install inference-sdk
```

Serverless Hosted API にリクエストを送るには、次のコードを使用します:

<pre class="language-python"><code class="lang-python"><strong>from inference_sdk import InferenceHTTPClient
</strong>
CLIENT = InferenceHTTPClient(
    api_url="https://serverless.roboflow.com",
    api_key="API_KEY"
)

result = CLIENT.infer("image.jpg", model_id="model-id/1")
print(result)
</code></pre>

上記では、 [model ID](https://docs.roboflow.com/developer/authentication/workspace-and-project-ids) と [API key](https://docs.roboflow.com/developer/authentication/find-your-roboflow-api-key)を指定してください。このコードでモデルを実行し、結果を返します。

#### Roboflow Instant Model

Serverless API は Roboflow [Instant Model](/roboflow/roboflow-jp/train/roboflow-instant.md)の実行もサポートしています。Instant Model は他のモデルと同じように実行できますが、confidence threshold は Instant Models では敏感に反応する場合があることに注意してください。

{% hint style="info" %}
最適な confidence は、モデルが学習した画像の枚数によって異なります。最適な confidence threshold は通常 0.85 から 0.99 の範囲です。
{% endhint %}

```python
configuration = InferenceConfiguration(
    confidence_threshold=0.95
)
CLIENT.configure(configuration)

result = CLIENT.infer("image.jpg", model_id="roboflow-instant-model-id/1")
```


---

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