> 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.md).

# Deploy

- [Test](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/test.md)
- [एक Model या Workflow deploy करें](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/deployment-overview.md): जानें कि Roboflow पर प्रशिक्षित या अपलोड किए गए workflows और models को कैसे deploy करें।
- [Supported Models](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/supported-models.md): वे सभी models जिन्हें आप Roboflow के साथ deploy कर सकते हैं।
- [Roboflow 3.0](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/supported-models/roboflow-3.md): हमारे Serverless Hosted API के माध्यम से Roboflow 3.0 model family का उपयोग करें
- [Roboflow 2.0](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/supported-models/roboflow-2.md): हमारे Serverless Hosted API के माध्यम से Roboflow 2.0 semantic segmentation model का उपयोग करें
- [Roboflow Instant](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/supported-models/roboflow-instant.md): Serverless Hosted API के माध्यम से Roboflow Instant few-shot object detection model चलाएँ।
- [RF-DETR](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/supported-models/rf-detr.md): हमारे Serverless Hosted API के माध्यम से Roboflow के RF-DETR model का उपयोग करें
- [YOLO11](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/supported-models/yolo11.md): हमारे Serverless Hosted API के माध्यम से YOLO11 model family का उपयोग करें
- [YOLOv12](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/supported-models/yolov12.md): हमारे Serverless Hosted API के माध्यम से YOLOv12 object detection model का उपयोग करें
- [YOLO26](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/supported-models/yolo26.md): हमारे Serverless Hosted API के माध्यम से YOLO26 model family का उपयोग करें
- [YOLOv9](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/supported-models/yolov9.md): हमारे Serverless Hosted API के माध्यम से YOLOv9 object detection का उपयोग करें
- [YOLOv7](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/supported-models/yolov7.md): हमारे Serverless Hosted API के माध्यम से YOLOv7 instance segmentation का उपयोग करें
- [YOLOv5](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/supported-models/yolov5.md): हमारे Serverless Hosted API के माध्यम से YOLOv5 model family का उपयोग करें
- [YOLOLite](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/supported-models/yololite.md): हमारे Serverless Hosted API के माध्यम से YOLOlite model family का उपयोग करें
- [YOLO-World](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/supported-models/yolo-world.md): हमारे Serverless Hosted API के माध्यम से YOLO-World open-vocabulary object detection का उपयोग करें
- [SAM3](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/supported-models/sam3.md): हमारे Serverless Hosted API के माध्यम से Meta के SAM3 model का उपयोग करें
- [SAM2](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/supported-models/sam2.md): हमारे Serverless Hosted API के माध्यम से Meta के SAM2 model का उपयोग करें
- [ViT](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/supported-models/vit.md): Serverless Hosted API के माध्यम से Roboflow पर प्रशिक्षित ViT classification models चलाएँ
- [ResNet](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/supported-models/resnet.md): हमारे Serverless Hosted API के माध्यम से ResNet image classification का उपयोग करें
- [Dino v3](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/supported-models/dino-v3.md): Serverless Hosted API के माध्यम से Roboflow पर प्रशिक्षित DINOv3 classification models चलाएँ
- [PaliGemma 2](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/supported-models/paligemma2.md): हमारे Serverless Hosted API के माध्यम से Google के PaliGemma 2 vision-language model का उपयोग करें
- [Qwen3-VL](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/supported-models/qwen3-vl.md): हमारे Serverless Hosted API के माध्यम से Alibaba के Qwen3-VL vision-language model का उपयोग करें
- [Qwen3.5](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/supported-models/qwen3-5.md): Workflows, Dedicated Deployments, या self-hosted Inference के माध्यम से Alibaba के Qwen3.5-VL vision-language model का उपयोग करें
- [SmolVLM2](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/supported-models/smolvlm2.md): Dedicated Deployment या self-hosted Inference पर HuggingFace के SmolVLM2 vision-language model का उपयोग करें
- [Moondream2](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/supported-models/moondream2.md): Dedicated Deployment या self-hosted Inference पर open-vocabulary detection के लिए Moondream2 का उपयोग करें
- [Florence 2](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/supported-models/florence-2.md): हमारे Serverless Hosted API के माध्यम से Microsoft के Florence 2 multimodal model का उपयोग करें
- [CLIP](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/supported-models/clip.md): हमारे Serverless Hosted API के माध्यम से OpenAI के CLIP model का उपयोग करें
- [Perception Encoder](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/supported-models/perception-encoder.md): image और text embeddings की गणना करने के लिए Dedicated Deployment या self-hosted Inference पर Meta के Perception Encoder का उपयोग करें
- [OwlV2](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/supported-models/owlv2.md): Dedicated Deployment या self-hosted Inference पर one-shot object detection के लिए OwlV2 का उपयोग करें
- [Grounding DINO](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/supported-models/grounding-dino.md): Dedicated Deployment या self-hosted Inference पर text-prompted object detection के लिए Grounding DINO का उपयोग करें
- [DocTR](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/supported-models/doctr.md): हमारे Serverless Hosted API के माध्यम से DocTR OCR model का उपयोग करें
- [EasyOCR](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/supported-models/easyocr.md): हमारे Serverless Hosted API के माध्यम से EasyOCR multilingual OCR model का उपयोग करें
- [TrOCR](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/supported-models/trocr.md): Dedicated Deployment या self-hosted Inference पर text recognition के लिए Microsoft के TrOCR का उपयोग करें
- [GLM-OCR](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/supported-models/glm-ocr.md): हमारे Serverless Hosted API के माध्यम से image OCR के लिए GLM-OCR का उपयोग करें
- [Depth Anything V2](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/supported-models/depth-anything-v2.md): Dedicated Deployment या self-hosted Inference पर monocular depth estimation के लिए Depth Anything V2 का उपयोग करें
- [L2Cs-Net](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/supported-models/l2cs-net.md): हमारे Serverless Hosted API के माध्यम से L2Cs-Net gaze detection model का उपयोग करें
- [Serverless Hosted API](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/serverless-hosted-api-v2.md): Roboflow cloud में GPU-accelerated auto-scaling infrastructure पर Workflows और Model Inference चलाएँ।
- [Workflow में उपयोग करें](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/serverless-hosted-api-v2/use-in-a-workflow.md): आप Serverless Hosted API को Roboflow Workflows के साथ उपयोग कर सकते हैं।
- [REST API के साथ उपयोग करें](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/serverless-hosted-api-v2/use-with-the-rest-api.md)
- [Python SDK के साथ उपयोग करें](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/serverless-hosted-api-v2/use-with-python-sdk.md): Python SDK के साथ Roboflow के Serverless Hosted API का उपयोग करें
- [Pricing](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/serverless-hosted-api-v2/pricing.md): Serverless Hosted API Pricing page
- [Serverless Video Streaming API](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/serverless-video-streaming-api.md): Roboflow Cloud में live video पर Roboflow Workflows चलाएँ। webcams, RTSP cameras, या video files से WebRTC के माध्यम से input stream करें और inference results अपने application में वापस प्राप्त करें।
- [Batch Processing](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/batch-processing.md)
- [API संदर्भ](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/batch-processing/api-reference.md): Batch Processing endpoints के लिए REST API संदर्भ।
- [CLI Usage](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/batch-processing/cli-usage.md): Batch Processing jobs बनाने और प्रबंधित करने के लिए Roboflow CLI का उपयोग करें।
- [Troubleshooting](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/batch-processing/troubleshooting.md): timeouts, SAHI performance, और OOM errors सहित Batch Processing की सामान्य समस्याओं का समाधान करें।
- [Dedicated Deployments](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/dedicated-deployments.md): Roboflow के साथ Dedicated Servers पर अपने Vision Models चलाएँ
- [एक Dedicated Deployment बनाएं](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/dedicated-deployments/create-a-dedicated-deployment.md): आप Roboflow web interface या CLI में एक Dedicated Deployment बना सकते हैं।
- [Dedicated Deployment को रोकें और फिर से शुरू करें](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/dedicated-deployments/pause-and-resume-a-dedicated-deployment.md)
- [एक Dedicated Deployment हटाएँ](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/dedicated-deployments/delete-a-dedicated-deployment.md)
- [Dedicated Deployment को requests भेजें](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/dedicated-deployments/make-requests-to-a-dedicated-deployment.md): आप Python SDK, HTTP API, या Workflows web interface का उपयोग करके सीधे Dedicated Deployment को requests भेज सकते हैं।
- [API के साथ Dedicated Deployments प्रबंधित करें](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/dedicated-deployments/manage-dedicated-deployments-with-an-api.md): हमारे HTTP APIs का उपयोग करके अपने dedicated deployment को प्रबंधित करें।
- [Managed Deployments](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/roboflow-managed-deployments-overview.md)
- [Self-Hosted Deployment](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/self-hosted-deployment.md): आप अपने स्वयं के hardware पर Roboflow models और Workflows चला सकते हैं।
- [अन्य SDKs](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/sdks.md)
- [Python inference-sdk](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/sdks/python-inference-sdk.md): inference-sk के बारे में जानकारी
- [Web Browser](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/sdks/web-browser.md)
- [Web inference.js](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/sdks/web-browser/web-inference.js.md): inference.js के साथ browser पर edge पर realtime predictions चलाएँ
- [inferencejs संदर्भ](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/sdks/web-browser/web-inference.js/inferencejs-reference.md): Roboflow के साथ बनाए गए computer vision applications को web/JavaScript environments में deploy करने के लिए एक edge library \`inferencejs\` का संदर्भ
- [inferencejs आवश्यकताएँ](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/sdks/web-browser/web-inference.js/inferencejs-requirements.md): \`inferencejs\` चलाने के लिए आवश्यकताएँ
- [Web inference-sdk](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/sdks/web-browser/web-inference-sdk.md): Roboflow cloud पर चलने वाले inference-sdk के साथ अपने browser से realtime video inference चलाएँ
- [Lens Studio](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/sdks/lens-studio.md): Snap Lens बनाने में उपयोग के लिए एक model को Lens Studio में deploy करें।
- [Changelog - Lens Studio](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/sdks/lens-studio/changelog-lens-studio.md): Lens Studio integration के लिए सार्वजनिक changes की सूची
- [Luxonis OAK](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/sdks/luxonis-oak.md): Myriad X VPU acceleration के साथ अपने Roboflow Train model को OpenCV AI Kit पर deploy करें।
- [OpenMV](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/sdks/openmv.md): computer vision models को अत्यंत कम-शक्ति edge cameras पर deploy करें।
- [iOS SDK](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/sdks/ios-sdk.md): अपने trained Roboflow model को अपने iOS app में deploy करें
- [Custom Model Weights अपलोड करें](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/upload-custom-weights.md): Roboflow आपके custom-trained models के model weights को model deployment के लिए आपके Roboflow projects में अपलोड करने की सुविधा देता है।
- [Model Weights डाउनलोड करें](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/download-roboflow-model-weights.md): अपने Roboflow models को अपने स्वयं के hardware पर चलाने के लिए, आप या तो Roboflow Inference (अनुशंसित, स्वचालित तरीका) का उपयोग कर सकते हैं या Model Weights को manually डाउनलोड कर सकते हैं (विशिष्ट edge cases के लिए)।
- [Enterprise Deployment](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/enterprise-deployment.md)
- [License Server](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/enterprise-deployment/license-server.md): आप अपनी कंपनी के DMZ में Roboflow Deployment servers के लिए आवश्यक routes को proxy करने के लिए Roboflow License server का उपयोग कर सकते हैं
- [Offline Mode](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/enterprise-deployment/offline-mode.md): Roboflow Enterprise ग्राहक मॉडल offline deploy कर सकते हैं।
- [Kubernetes](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/enterprise-deployment/kubernetes.md): Kubernetes पर Roboflow Inference के साथ शुरुआत करें
- [Docker Compose](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/enterprise-deployment/docker-compose.md): Docker Compose के माध्यम से अपना multi-container application बनाने के लिए Roboflow inference server को अन्य docker containers के साथ चलाएँ।
- [Deployment Manager](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/device-manager.md): edge hardware पर deployed computer vision models को प्रबंधित और मॉनिटर करें।
- [सेटअप](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/device-manager/setting-up.md)
- [Hardware आवश्यकताएँ](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/device-manager/setting-up/hardware-requirements.md)
- [एक Device जोड़ें](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/device-manager/setting-up/add-a-device.md): Deployment Manager का उपयोग करके Workflow deploy करने के लिए आवश्यक सभी चीजों के साथ एक device सेट up करें।
- [एक Stream जोड़ें](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/device-manager/setting-up/add-a-stream.md): जानें कि Workflow चलाने के लिए उपयोग किए जाने वाले stream को कैसे configure करें।
- [Maintenance Windows सेटअप करें](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/device-manager/setting-up/setup-maintenance-windows.md)
- [Device Alerts सेटअप करें](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/device-manager/setting-up/set-up-device-alerts.md)
- [Monitoring](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/device-manager/monitoring.md)
- [एक Stream देखें](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/device-manager/monitoring/view-a-stream.md): जानें कि Deployment Manager के साथ configured Stream कैसे देखें।
- [Device Logs देखें](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/device-manager/monitoring/view-device-logs.md)
- [Resource Monitor देखें](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/device-manager/monitoring/view-the-resource-monitor.md)
- [Event Store स्थिति देखें](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/device-manager/monitoring/view-event-store-status.md)
- [Changes करना](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/device-manager/making-changes.md)
- [Device Configuration अपडेट करें](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/device-manager/making-changes/update-device-configuration.md)
- [AI1 Camera सेटिंग्स कॉन्फ़िगर करें](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/device-manager/making-changes/configure-ai1-camera-settings.md)
- [Deployment Manager को redeploy करें](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/device-manager/making-changes/redeploy-deployment-manager.md)
- [Device Manager के लिए API Keys](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/device-manager/making-changes/api-keys-for-device-manager.md)
- [एक Stream समाप्त करें](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/device-manager/making-changes/delete-a-stream.md)
- [Stream को रोकें और फिर से शुरू करें](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/device-manager/making-changes/stop-a-stream.md)
- [Stream trigger करें](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/device-manager/making-changes/trigger-a-stream.md): Triggered stream के latest frame पर मांग अनुसार एक Workflow चलाएँ।
- [PoE Port का Soft Reset करें](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/device-manager/making-changes/soft-reset-poe-port.md)
- [एक Device हटाएँ](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/device-manager/making-changes/delete-a-device.md)
- [PLC Relay](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/device-manager/plc-relay.md): Allen-Bradley, Modbus TCP, या Siemens S7 के माध्यम से PLC tags को पढ़ने और लिखने के लिए PLC Relay configure करें।
- [Active Learning](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/active-learning.md): रिव्यू और रीट्रेनिंग के माध्यम से अपने model को लगातार बेहतर बनाने के लिए production inference data एकत्र करें।
- [Model Monitoring](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/model-monitoring.md): Roboflow के साथ Model Monitoring के लिए एक मार्गदर्शिका।
- [Alerting](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/model-monitoring/alerting.md)
- [Vision Events](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/vision-events.md): अपने deployed computer vision models production में क्या देखते हैं, उसे record, search और analyze करें।
- [Use Cases](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/vision-events/use-cases.md): Use Cases का उपयोग करके Vision Events को उद्देश्य के अनुसार समूहित करें।
- [Events भेजें](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/vision-events/send-events.md): अपने deployed models से Vision Events भेजने के तीन तरीके।
- [Query Events](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/vision-events/query-events.md): dashboard और API के माध्यम से Vision Events को खोजें, फ़िल्टर करें और ब्राउज़ करें
- [Events हटाएँ](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/vision-events/delete-events.md): dashboard या API के माध्यम से किसी Use Case से Vision Events हटाएँ।
- [Operator Feedback](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/vision-events/operator-feedback.md): operators को Vision Events की समीक्षा करने और उन्हें सही, गलत, या अनिर्णायक के रूप में चिह्नित करने दें।
- [Training के लिए Images जोड़ें](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/vision-events/add-images-for-training.md): Training के लिए Vision Events से images को एक Roboflow project में भेजें।


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