materials.selfies-ted2m
ibm-research's materials.selfies-ted2m is a embedding model. materials.selfies-ted2m is an open-weights embed model.
by ibm-research
Best for
Ways to use materials.selfies-ted2m in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your ibm-research API key. osFoundry discovers materials.selfies-ted2m 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
materials.selfies-ted2m 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.
materials.selfies-ted2m vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about materials.selfies-ted2m
Is materials.selfies-ted2m free to use?
materials.selfies-ted2m 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 materials.selfies-ted2m 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 materials.selfies-ted2m locally?
Yes. materials.selfies-ted2m is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is materials.selfies-ted2m best at?
materials.selfies-ted2m is well-suited to feature extraction.
How do I use materials.selfies-ted2m in osFoundry?
Paste your ibm-research API key in the key dialog (or deploy the open weights for self-hostable models), assign materials.selfies-ted2m to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by ibm-research on January 28, 2025. Source: https://huggingface.co/ibm-research/materials.selfies-ted2m