resnet50_sentinel2_all_moco
Built by torchgeo, resnet50_sentinel2_all_moco is an image-generation model. resnet50_sentinel2_all_moco is an open-weights image model.
by torchgeo
Best for
Ways to use resnet50_sentinel2_all_moco in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your torchgeo API key. osFoundry discovers resnet50_sentinel2_all_moco 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_sentinel2_all_moco 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_sentinel2_all_moco vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about resnet50_sentinel2_all_moco
Is resnet50_sentinel2_all_moco free to use?
resnet50_sentinel2_all_moco 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_sentinel2_all_moco 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_sentinel2_all_moco locally?
Yes. resnet50_sentinel2_all_moco is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is resnet50_sentinel2_all_moco best at?
resnet50_sentinel2_all_moco is well-suited to image classification.
How do I use resnet50_sentinel2_all_moco in osFoundry?
Paste your torchgeo API key in the key dialog (or deploy the open weights for self-hostable models), assign resnet50_sentinel2_all_moco to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by torchgeo on January 18, 2023. Source: https://huggingface.co/torchgeo/resnet50_sentinel2_all_moco