resnet50-onnx
Built by Qdrant, resnet50-onnx is an image-generation model. resnet50-onnx is an open-weights image model.
by Qdrant
Best for
Ways to use resnet50-onnx in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your Qdrant API key. osFoundry discovers resnet50-onnx automatically — assign it to a Maestro role (router, direct, orchestrator, or fallback) in the Pipeline tab and it is live in every chat. Your key, your provider account — no token markup.
Deploy a dedicated endpoint
resnet50-onnx is open-weights — run it locally for free, or deploy a dedicated GPU endpoint in your workspace for reserved capacity with no rate limits.
Use it in a Room App
Room Apps declare AI features in their manifest, then call them with invokeAI:
import { invokeAI } from '@osfoundry/app-sdk'
// 'summarize' is an AI feature declared in your app manifest.
const result = await invokeAI('summarize', userText)
Call it from your own apps
Once a model is wired into your workspace you can host it as an API and reach it from your own services, scripts, or CI — outside osFoundry.
resnet50-onnx vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about resnet50-onnx
Is resnet50-onnx free to use?
resnet50-onnx is free to run locally on your own hardware. Hosted access through osFoundry is metered (input Free (local), output Free (local)). You can switch between local and hosted at any time.
Can I use resnet50-onnx commercially?
Commercial use is allowed with conditions. Licence terms not specified — verify the upstream model card before commercial use. Check upstream documentation.
Can I run resnet50-onnx locally?
Yes. resnet50-onnx is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is resnet50-onnx best at?
resnet50-onnx is well-suited to image classification.
How do I use resnet50-onnx in osFoundry?
Paste your Qdrant API key in the key dialog (or deploy the open weights for self-hostable models), assign resnet50-onnx to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by Qdrant on May 31, 2024. Source: https://huggingface.co/Qdrant/resnet50-onnx