mask2former-finetuned-ER-Mito-LD5
Released by Dnq2025 in 2025, mask2former-finetuned-ER-Mito-LD5 is an image-generation model. mask2former-finetuned-ER-Mito-LD5 is an open-weights image model.
by Dnq2025
Best for
Ways to use mask2former-finetuned-ER-Mito-LD5 in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your Dnq2025 API key. osFoundry discovers mask2former-finetuned-ER-Mito-LD5 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
mask2former-finetuned-ER-Mito-LD5 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.
mask2former-finetuned-ER-Mito-LD5 vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about mask2former-finetuned-ER-Mito-LD5
Is mask2former-finetuned-ER-Mito-LD5 free to use?
mask2former-finetuned-ER-Mito-LD5 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 mask2former-finetuned-ER-Mito-LD5 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 mask2former-finetuned-ER-Mito-LD5 locally?
Yes. mask2former-finetuned-ER-Mito-LD5 is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is mask2former-finetuned-ER-Mito-LD5 best at?
mask2former-finetuned-ER-Mito-LD5 is well-suited to image segmentation.
How do I use mask2former-finetuned-ER-Mito-LD5 in osFoundry?
Paste your Dnq2025 API key in the key dialog (or deploy the open weights for self-hostable models), assign mask2former-finetuned-ER-Mito-LD5 to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by Dnq2025 on April 3, 2025. Source: https://huggingface.co/Dnq2025/mask2former-finetuned-ER-Mito-LD5