ru-en-RoSBERTa
Released by ai-forever in 2024, ru-en-RoSBERTa is an embedding model. ru-en-RoSBERTa is an open-weights embed model.
by ai-forever
Best for
Ways to use ru-en-RoSBERTa in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your ai-forever API key. osFoundry discovers ru-en-RoSBERTa 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
ru-en-RoSBERTa 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.
ru-en-RoSBERTa vs similar models
| Model | Org | Params | Context | Input price | Self-host |
|---|
| ru-en-RoSBERTa | ai-forever | — | — | Free (local) | Yes |
| embedic-base | djovak | — | — | Free (local) | Yes |
| other | unslothai | — | — | Free (local) | Yes |
| rubert-tiny2 | cointegrated | — | — | Free (local) | Yes |
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about ru-en-RoSBERTa
Is ru-en-RoSBERTa free to use?
ru-en-RoSBERTa 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 ru-en-RoSBERTa 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 ru-en-RoSBERTa locally?
Yes. ru-en-RoSBERTa is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is ru-en-RoSBERTa best at?
ru-en-RoSBERTa is well-suited to feature extraction.
How do I use ru-en-RoSBERTa in osFoundry?
Paste your ai-forever API key in the key dialog (or deploy the open weights for self-hostable models), assign ru-en-RoSBERTa to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by ai-forever on July 29, 2024. Source: https://huggingface.co/ai-forever/ru-en-RoSBERTa