whisper-base.en-ct2-float32
Released by ctranslate2-4you in 2023, whisper-base.en-ct2-float32 is an speech-and-audio model. whisper-base.en-ct2-float32 is an open-weights audio model.
by ctranslate2-4you
Best for
- automatic speech recognition
Ways to use whisper-base.en-ct2-float32 in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your ctranslate2-4you API key. osFoundry discovers whisper-base.en-ct2-float32 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
whisper-base.en-ct2-float32 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.
whisper-base.en-ct2-float32 vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about whisper-base.en-ct2-float32
Is whisper-base.en-ct2-float32 free to use?
whisper-base.en-ct2-float32 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 whisper-base.en-ct2-float32 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 whisper-base.en-ct2-float32 locally?
Yes. whisper-base.en-ct2-float32 is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is whisper-base.en-ct2-float32 best at?
whisper-base.en-ct2-float32 is well-suited to automatic speech recognition.
How do I use whisper-base.en-ct2-float32 in osFoundry?
Paste your ctranslate2-4you API key in the key dialog (or deploy the open weights for self-hostable models), assign whisper-base.en-ct2-float32 to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by ctranslate2-4you on October 9, 2023. Source: https://huggingface.co/ctranslate2-4you/whisper-base.en-ct2-float32