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    • June 2025
      • Early Stopping and Cancel Training Support for Semantic Segmentation Models
      • Train and Deploy SmolVLM2 and SmolVLM 256M Models
      • Training Graphs for Classification Models
      • New Workspace Invitation Instructions
    • May 2025
      • Stop Training Jobs
      • Native Windows and macOS installers for Roboflow Inference
      • Train Larger Models with Roboflow Train
      • Use Label Assist with Classification Projects
      • Vision AI Checkup
    • April 2025
    • March 2025
      • Batch Processing
      • Use RTSP Streams in the Workflows Web Editor
      • Merge Detections block available in Workflows
      • RF-DETR
      • Select multiple annotations in Roboflow Annotate
      • Deprecating Python SDK Inference
  • Februrary 2025
    • Download trained model weights from Roboflow
    • Roboflow Instant
    • Workflows AI Assistant
    • Use and Deploy Qwen2.5-VL with Roboflow Workflows
    • Training and API Deployment Support for YOLOv12
    • Inference v0.40.0
  • January 2025
    • Documentation and Developer Experience Overhaul
    • Workflow Editor Enhancements
    • Inference v0.33.0
    • Llama Vision 3.2 Support in Workflows
    • Draw polygon zones in Roboflow Workflows
  • December 2024
    • Dedicated Deployments Now Live
    • Improved Saving for Multimodal Projects
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  1. Februrary 2025

Roboflow Instant

PreviousDownload trained model weights from RoboflowNextWorkflows AI Assistant

Last updated 1 month ago

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Roboflow Instant lets you train a model using your dataset faster than ever.

With Instant, you can train a model version in a few minutes. This model can then be used with .

To train an Instant model, go to the Models page in your project and click "Train Model". Select "Roboflow Instant Model". You will receive a notification when your model has trained.

Curious to see how Instant fits into a model building project? Check out our video where a Roboflow team member builds a with Roboflow Instant and Workflows.

self-service checkout vision app in ten minutes
Dedicated Deployments