swin-tiny-patch4-finetuned-lung-cancer-ct-scans
Built by oohtmeel, swin-tiny-patch4-finetuned-lung-cancer-ct-scans is an image-generation model. swin-tiny-patch4-finetuned-lung-cancer-ct-scans is an open-weights image model.
by oohtmeel
Best for
Ways to use swin-tiny-patch4-finetuned-lung-cancer-ct-scans in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your oohtmeel API key. osFoundry discovers swin-tiny-patch4-finetuned-lung-cancer-ct-scans 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
swin-tiny-patch4-finetuned-lung-cancer-ct-scans 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.
swin-tiny-patch4-finetuned-lung-cancer-ct-scans vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about swin-tiny-patch4-finetuned-lung-cancer-ct-scans
Is swin-tiny-patch4-finetuned-lung-cancer-ct-scans free to use?
swin-tiny-patch4-finetuned-lung-cancer-ct-scans 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 swin-tiny-patch4-finetuned-lung-cancer-ct-scans 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 swin-tiny-patch4-finetuned-lung-cancer-ct-scans locally?
Yes. swin-tiny-patch4-finetuned-lung-cancer-ct-scans is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is swin-tiny-patch4-finetuned-lung-cancer-ct-scans best at?
swin-tiny-patch4-finetuned-lung-cancer-ct-scans is well-suited to image classification.
How do I use swin-tiny-patch4-finetuned-lung-cancer-ct-scans in osFoundry?
Paste your oohtmeel API key in the key dialog (or deploy the open weights for self-hostable models), assign swin-tiny-patch4-finetuned-lung-cancer-ct-scans to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by oohtmeel on June 17, 2024. Source: https://huggingface.co/oohtmeel/swin-tiny-patch4-finetuned-lung-cancer-ct-scans