anime_speech_emotion_classification
anime_speech_emotion_classification (litagin, 2025) is an speech-and-audio model. anime_speech_emotion_classification is an open-weights audio model.
by litagin
Best for
Ways to use anime_speech_emotion_classification in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your litagin API key. osFoundry discovers anime_speech_emotion_classification 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
anime_speech_emotion_classification 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.
anime_speech_emotion_classification vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about anime_speech_emotion_classification
Is anime_speech_emotion_classification free to use?
anime_speech_emotion_classification 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 anime_speech_emotion_classification 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 anime_speech_emotion_classification locally?
Yes. anime_speech_emotion_classification is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is anime_speech_emotion_classification best at?
anime_speech_emotion_classification is well-suited to audio classification.
How do I use anime_speech_emotion_classification in osFoundry?
Paste your litagin API key in the key dialog (or deploy the open weights for self-hostable models), assign anime_speech_emotion_classification to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by litagin on April 1, 2025. Source: https://huggingface.co/litagin/anime_speech_emotion_classification