transcribe-arlco-calls
transcribe-arlco-calls is a speech-and-audio model from josephhaaga, released February 9, 2025. transcribe-arlco-calls is an open-weights audio model.
by josephhaaga
Best for
- automatic speech recognition
Ways to use transcribe-arlco-calls in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your josephhaaga API key. osFoundry discovers transcribe-arlco-calls 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
transcribe-arlco-calls 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.
transcribe-arlco-calls vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about transcribe-arlco-calls
Is transcribe-arlco-calls free to use?
transcribe-arlco-calls 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 transcribe-arlco-calls 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 transcribe-arlco-calls locally?
Yes. transcribe-arlco-calls is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is transcribe-arlco-calls best at?
transcribe-arlco-calls is well-suited to automatic speech recognition.
How do I use transcribe-arlco-calls in osFoundry?
Paste your josephhaaga API key in the key dialog (or deploy the open weights for self-hostable models), assign transcribe-arlco-calls to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by josephhaaga on February 9, 2025. Source: https://huggingface.co/josephhaaga/transcribe-arlco-calls