emova_speech_tokenizer_vllm
emova_speech_tokenizer_vllm is a embedding model from snu-aidas, released March 10, 2026. emova_speech_tokenizer_vllm is an open-weights embed model.
by snu-aidas
Best for
Ways to use emova_speech_tokenizer_vllm in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your snu-aidas API key. osFoundry discovers emova_speech_tokenizer_vllm 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
emova_speech_tokenizer_vllm 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.
emova_speech_tokenizer_vllm vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about emova_speech_tokenizer_vllm
Is emova_speech_tokenizer_vllm free to use?
emova_speech_tokenizer_vllm 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 emova_speech_tokenizer_vllm 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 emova_speech_tokenizer_vllm locally?
Yes. emova_speech_tokenizer_vllm is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is emova_speech_tokenizer_vllm best at?
emova_speech_tokenizer_vllm is well-suited to feature extraction.
How do I use emova_speech_tokenizer_vllm in osFoundry?
Paste your snu-aidas API key in the key dialog (or deploy the open weights for self-hostable models), assign emova_speech_tokenizer_vllm to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by snu-aidas on March 10, 2026. Source: https://huggingface.co/snu-aidas/emova_speech_tokenizer_vllm