whisper-tiny.en_timestamped
Released by onnx-community in 2024, whisper-tiny.en_timestamped is an speech-and-audio model. whisper-tiny.en_timestamped is an open-weights audio model.
by onnx-community
Best for
- automatic speech recognition
Ways to use whisper-tiny.en_timestamped in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your onnx-community API key. osFoundry discovers whisper-tiny.en_timestamped 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-tiny.en_timestamped 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-tiny.en_timestamped vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about whisper-tiny.en_timestamped
Is whisper-tiny.en_timestamped free to use?
whisper-tiny.en_timestamped 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-tiny.en_timestamped 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-tiny.en_timestamped locally?
Yes. whisper-tiny.en_timestamped is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is whisper-tiny.en_timestamped best at?
whisper-tiny.en_timestamped is well-suited to automatic speech recognition.
How do I use whisper-tiny.en_timestamped in osFoundry?
Paste your onnx-community API key in the key dialog (or deploy the open weights for self-hostable models), assign whisper-tiny.en_timestamped to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by onnx-community on July 1, 2024. Source: https://huggingface.co/onnx-community/whisper-tiny.en_timestamped