aesthetics-predictor-v2-sac-logos-ava1-l14-linearMSE
aesthetics-predictor-v2-sac-logos-ava1-l14-linearMSE (shunk031, 2023) is an embedding model. aesthetics-predictor-v2-sac-logos-ava1-l14-linearMSE is an open-weights embed model.
by shunk031
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Ways to use aesthetics-predictor-v2-sac-logos-ava1-l14-linearMSE in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your shunk031 API key. osFoundry discovers aesthetics-predictor-v2-sac-logos-ava1-l14-linearMSE 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
aesthetics-predictor-v2-sac-logos-ava1-l14-linearMSE 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.
aesthetics-predictor-v2-sac-logos-ava1-l14-linearMSE vs similar models
| Model | Org | Params | Context | Input price | Self-host |
|---|
| aesthetics-predictor-v2-sac-logos-ava1-l14-linearMSE | shunk031 | — | — | Free (local) | Yes |
| sentence-t5-xxl | sentence-transformers | — | — | Free (local) | Yes |
| bge-large-en-v1.5 | Xenova | — | — | Free (local) | Yes |
| dictabert-morph | dicta-il | — | — | Free (local) | Yes |
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about aesthetics-predictor-v2-sac-logos-ava1-l14-linearMSE
Is aesthetics-predictor-v2-sac-logos-ava1-l14-linearMSE free to use?
aesthetics-predictor-v2-sac-logos-ava1-l14-linearMSE 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 aesthetics-predictor-v2-sac-logos-ava1-l14-linearMSE 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 aesthetics-predictor-v2-sac-logos-ava1-l14-linearMSE locally?
Yes. aesthetics-predictor-v2-sac-logos-ava1-l14-linearMSE is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is aesthetics-predictor-v2-sac-logos-ava1-l14-linearMSE best at?
aesthetics-predictor-v2-sac-logos-ava1-l14-linearMSE is well-suited to feature extraction.
How do I use aesthetics-predictor-v2-sac-logos-ava1-l14-linearMSE in osFoundry?
Paste your shunk031 API key in the key dialog (or deploy the open weights for self-hostable models), assign aesthetics-predictor-v2-sac-logos-ava1-l14-linearMSE to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by shunk031 on July 5, 2023. Source: https://huggingface.co/shunk031/aesthetics-predictor-v2-sac-logos-ava1-l14-linearMSE