xlm-roberta-large-english-cap-media2-v17
Built by poltextlab, xlm-roberta-large-english-cap-media2-v17 is an chat model. xlm-roberta-large-english-cap-media2-v17 is an open-weights chat model.
by poltextlab
Best for
Ways to use xlm-roberta-large-english-cap-media2-v17 in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your poltextlab API key. osFoundry discovers xlm-roberta-large-english-cap-media2-v17 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
xlm-roberta-large-english-cap-media2-v17 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.
xlm-roberta-large-english-cap-media2-v17 vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about xlm-roberta-large-english-cap-media2-v17
Is xlm-roberta-large-english-cap-media2-v17 free to use?
xlm-roberta-large-english-cap-media2-v17 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 xlm-roberta-large-english-cap-media2-v17 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 xlm-roberta-large-english-cap-media2-v17 locally?
Yes. xlm-roberta-large-english-cap-media2-v17 is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is xlm-roberta-large-english-cap-media2-v17 best at?
xlm-roberta-large-english-cap-media2-v17 is well-suited to text classification.
How do I use xlm-roberta-large-english-cap-media2-v17 in osFoundry?
Paste your poltextlab API key in the key dialog (or deploy the open weights for self-hostable models), assign xlm-roberta-large-english-cap-media2-v17 to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by poltextlab on November 11, 2025. Source: https://huggingface.co/poltextlab/xlm-roberta-large-english-cap-media2-v17