> 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

- [एक Model या Workflow Deploy करें](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/deployment-overview.md): जानें कि Roboflow पर trained या uploaded workflows और models को कैसे deploy करें।
- [Supported Models](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/supported-models.md): सभी models जिन्हें आप Roboflow के साथ deploy कर सकते हैं।
- [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
- [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
- [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
- [Cosmos 3 Edge](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/supported-models/cosmos-3-edge.md): हमारे Serverless Hosted API के माध्यम से NVIDIA के Cosmos 3 Edge vision-language world 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
- [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
- [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
- [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
- [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
- [Dino v3](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/supported-models/dino-v3.md): Serverless Hosted API के माध्यम से Roboflow पर trained DINOv3 classification models चलाएँ
- [Roboflow Instant](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/supported-models/roboflow-instant.md): Serverless Hosted API के माध्यम से एक Roboflow Instant few-shot object detection model चलाएँ।
- [Perception Encoder](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/supported-models/perception-encoder.md): Dedicated Deployment या self-hosted Inference पर image और text embeddings compute करने के लिए Meta के Perception Encoder 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
- [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
- [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
- [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
- [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
- [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
- [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
- [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
- [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
- [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
- [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
- [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
- [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
- [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
- [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's TrOCR 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
- [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
- [ViT](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/supported-models/vit.md): Serverless Hosted API के माध्यम से Roboflow पर trained ViT classification models चलाएँ
- [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
- [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
- [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 का उपयोग Roboflow Workflows के साथ 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): Roboflow के Serverless Hosted API का उपयोग Python SDK के साथ करें
- [मूल्य निर्धारण](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/serverless-hosted-api-v2/pricing.md): Serverless Hosted API मूल्य निर्धारण पेज
- [Serverless Video Streaming API](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/serverless-video-streaming-api.md): Roboflow Cloud में लाइव वीडियो पर Roboflow Workflows चलाएँ। वेबकैम, 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)
- [App से Workflows चलाएँ](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/batch-processing/run-from-the-app.md): Roboflow app से Batch Processing jobs शुरू करें, on demand या हर बार जब कोई Datasource cloud bucket को mirror करे, स्वचालित रूप से।
- [API Reference](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/batch-processing/api-reference.md): Batch Processing endpoints के लिए REST API reference।
- [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 सामान्य Batch Processing समस्याओं का समाधान करें।
- [Dedicated Deployments](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/dedicated-deployments.md): Roboflow के साथ अपने Vision Models को Dedicated Servers पर चलाएँ
- [एक Dedicated Deployment बनाएं](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/dedicated-deployments/create-a-dedicated-deployment.md): आप Roboflow web interface में, या CLI में, एक Dedicated Deployment बना सकते हैं।
- [Dedicated Deployment को Pause और Resume करें](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/dedicated-deployments/pause-and-resume-a-dedicated-deployment.md)
- [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 सीधे Python SDK के साथ, HTTP API का उपयोग करके, या Workflows web interface का उपयोग करके 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 खुद के hardware पर Roboflow models और Workflows चला सकते हैं।
- [Other 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 में edge पर real-time predictions चलाएँ
- [inferencejs Reference](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/sdks/web-browser/web-inference.js/inferencejs-reference.md): \`inferencejs\` के लिए संदर्भ, जो Roboflow से बने computer vision applications को web/JavaScript environments में deploy करने के लिए एक edge library है
- [inferencejs Requirements](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): inference-sdk के साथ, अपने ब्राउज़र से Roboflow cloud पर चलने वाला 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 public-facing changes की सूची
- [Luxonis OAK](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/sdks/luxonis-oak.md): अपने Roboflow Train model को Myriad X VPU acceleration के साथ अपने OpenCV AI Kit पर deploy करें।
- [OpenMV](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/sdks/openmv.md): अत्यंत कम power वाली edge cameras पर computer vision models deploy करें।
- [iOS SDK](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/sdks/ios-sdk.md): अपने प्रशिक्षित 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 अपने Roboflow projects में upload करने की सुविधा देता है।
- [Model Weights डाउनलोड करें](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/download-roboflow-model-weights.md): अपने स्वयं के hardware पर Roboflow models चलाने के लिए, आप या तो Roboflow Inference (अनुशंसित, स्वचालित तरीका) का उपयोग कर सकते हैं या specific edge cases के लिए Model Weights को manually डाउनलोड कर सकते हैं।
- [Enterprise Deployment](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/enterprise-deployment.md)
- [Secure Gateway](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/enterprise-deployment/secure-gateway.md): Secure Gateway उन routes को proxy करता है जिन्हें Roboflow Deployment servers को आपकी कंपनी के DMZ तक चाहिए, और model weights तथा container images को स्थानीय रूप से cache करता है।
- [License Server (Deprecated)](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/enterprise-deployment/license-server.md): आप Roboflow Deployment servers के लिए आवश्यक routes को अपनी कंपनी के DMZ में 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 models को 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 deploy किए गए 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 चीज़ों के साथ एक device सेट अप करें।
- [एक Stream जोड़ें](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/device-manager/setting-up/add-a-stream.md): जानें कि एक stream कैसे configure करें जिसका उपयोग आप Workflow चलाने के लिए कर सकते हैं।
- [Maintenance Windows सेट करें](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/device-manager/setting-up/setup-maintenance-windows.md)
- [Device Alerts सेट करें](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/device-manager/setting-up/set-up-device-alerts.md)
- [मॉनिटरिंग](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): Deployment Manager के साथ configure किए गए Stream को कैसे देखें, यह सीखें।
- [Device Logs देखें](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/device-manager/monitoring/view-device-logs.md)
- [Device Activity देखें](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/device-manager/monitoring/view-device-activity.md)
- [Resource Monitor देखें](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/device-manager/monitoring/view-the-resource-monitor.md)
- [Event Store Status देखें](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/device-manager/monitoring/view-event-store-status.md)
- [परिवर्तन 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 Settings कॉन्फ़िगर करें](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/device-manager/making-changes/configure-ai1-camera-settings.md)
- [Deployment Manager को पुनः deploy 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)
- [Stream समाप्त करें](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/device-manager/making-changes/delete-a-stream.md)
- [Stream को Pause और Resume करें](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/device-manager/making-changes/stop-a-stream.md)
- [Stream ट्रिगर करें](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/device-manager/making-changes/trigger-a-stream.md): Triggered stream के नवीनतम frame पर मांग के अनुसार एक Workflow चलाएँ।
- [एक PoE Port का Soft Reset करें](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/device-manager/making-changes/soft-reset-poe-port.md)
- [Device Network कॉन्फ़िगर करें](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/device-manager/making-changes/configure-device-network.md)
- [Camera के लिए Static IP सेट करें](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/device-manager/making-changes/set-camera-static-ip.md)
- [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 read और write करने के लिए PLC Relay कॉन्फ़िगर करें।
- [Active Learning](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/active-learning.md): समीक्षा और retraining 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 guide।
- [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 रिकॉर्ड करें, खोजें और विश्लेषण 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 group करें।
- [इवेंट्स भेजें](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/vision-events/send-events.md): अपने deployed models से Vision Events भेजने के तीन तरीके।
- [Events Query करें](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/vision-events/query-events.md): dashboard और API के माध्यम से Vision Events को search, filter और browse करें
- [Events हटाएँ](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/vision-events/delete-events.md): dashboard या API के माध्यम से एक Use Case से Vision Events हटाएँ।
- [Operator Feedback](https://docs.roboflow.com/roboflow/roboflow-hi/deploy/vision-events/operator-feedback.md): ऑपरेटरों को Vision Events की समीक्षा करने दें और उन्हें सही, गलत, या अनिश्चित 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): Vision Events से images को training के लिए एक Roboflow project में भेजें।