bi-encoder-russian-msmarco
Released by DiTy in 2024, bi-encoder-russian-msmarco is an embedding model. bi-encoder-russian-msmarco is an open-weights embed model.
by DiTy
Best for
Ways to use bi-encoder-russian-msmarco in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your DiTy API key. osFoundry discovers bi-encoder-russian-msmarco 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
bi-encoder-russian-msmarco 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.
bi-encoder-russian-msmarco vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about bi-encoder-russian-msmarco
Is bi-encoder-russian-msmarco free to use?
bi-encoder-russian-msmarco 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 bi-encoder-russian-msmarco 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 bi-encoder-russian-msmarco locally?
Yes. bi-encoder-russian-msmarco is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is bi-encoder-russian-msmarco best at?
bi-encoder-russian-msmarco is well-suited to sentence similarity.
How do I use bi-encoder-russian-msmarco in osFoundry?
Paste your DiTy API key in the key dialog (or deploy the open weights for self-hostable models), assign bi-encoder-russian-msmarco to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by DiTy on April 16, 2024. Source: https://huggingface.co/DiTy/bi-encoder-russian-msmarco