Arabic_text_embedding_for_sts
AbderrahmanSkiredj1's Arabic_text_embedding_for_sts is a embedding model. Arabic_text_embedding_for_sts is an open-weights embed model.
by AbderrahmanSkiredj1
Best for
Ways to use Arabic_text_embedding_for_sts in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your AbderrahmanSkiredj1 API key. osFoundry discovers Arabic_text_embedding_for_sts 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
Arabic_text_embedding_for_sts 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.
Arabic_text_embedding_for_sts vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about Arabic_text_embedding_for_sts
Is Arabic_text_embedding_for_sts free to use?
Arabic_text_embedding_for_sts 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 Arabic_text_embedding_for_sts 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 Arabic_text_embedding_for_sts locally?
Yes. Arabic_text_embedding_for_sts is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is Arabic_text_embedding_for_sts best at?
Arabic_text_embedding_for_sts is well-suited to sentence similarity.
How do I use Arabic_text_embedding_for_sts in osFoundry?
Paste your AbderrahmanSkiredj1 API key in the key dialog (or deploy the open weights for self-hostable models), assign Arabic_text_embedding_for_sts to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by AbderrahmanSkiredj1 on July 7, 2024. Source: https://huggingface.co/AbderrahmanSkiredj1/Arabic_text_embedding_for_sts