> 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-hi/deploy/supported-models/paligemma2.md).

# PaliGemma 2

PaliGemma 2 Google का दृश्य-भाषा मॉडल है। यह एक image और एक text prompt स्वीकार करता है और एक text response लौटाता है। हम PaliGemma 2 को हमारे [Serverless Hosted API](/roboflow/roboflow-hi/deploy/serverless-hosted-api-v2.md), [Dedicated Deployments](/roboflow/roboflow-hi/deploy/dedicated-deployments.md), और [self-hosted Inference](https://inference.roboflow.com/).

## कोड उदाहरण

इंस्टॉल करें [Inference SDK](https://inference.roboflow.com/):

```bash
pip install inference-sdk
```

अपना [Roboflow API Key](https://app.roboflow.com/settings/api) के माध्यम से `API_KEY` environment variable. नमूना pretrained को कॉल करता है `paligemma2-3b-pt-224` एक caption prompt वाले checkpoint के साथ.

```python
import os
import urllib.request
from inference_sdk import InferenceHTTPClient

image_url = "https://media.roboflow.com/notebooks/examples/dog.jpeg"
image_path = "dog.jpeg"
urllib.request.urlretrieve(image_url, image_path)

client = InferenceHTTPClient(
    api_url="https://serverless.roboflow.com",
    api_key=os.getenv("API_KEY"),
)
result = client.infer_lmm(
    image_path,
    model_id="paligemma2-3b-pt-224",
    prompt="caption en",
    max_new_tokens=64,
)
print(result["response"])
```

ऊपर दिया गया code model response को terminal पर print करता है:

```
व्यक्ति सचमुच कुत्तों का बहुत बड़ा प्रेमी है .
```

{% hint style="info" %}
सेट करें `api_url` को अपने deployment target से मिलाने के लिए:

* `https://serverless.roboflow.com` Serverless Hosted API के लिए।
* `http://localhost:9001` एक स्थानीय [Inference](https://inference.roboflow.com/) सर्वर।
* आपका [Dedicated Deployment](/roboflow/roboflow-hi/deploy/dedicated-deployments.md) एक private endpoint के लिए URL।
  {% endhint %}

आप Roboflow पर अपना खुद का PaliGemma 2 checkpoint train कर सकते हैं और उसे उसके `workspace/project/version` identifier. देखें [Inference documentation](https://inference.roboflow.com/) अतिरिक्त prompt formats और supported checkpoints के लिए.


---

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