pebblo-classifier
daxa-ai's pebblo-classifier is a chat model. pebblo-classifier is an open-weights chat model.
by daxa-ai
Best for
Ways to use pebblo-classifier in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your daxa-ai API key. osFoundry discovers pebblo-classifier 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
pebblo-classifier 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.
pebblo-classifier vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about pebblo-classifier
Is pebblo-classifier free to use?
pebblo-classifier 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 pebblo-classifier 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 pebblo-classifier locally?
Yes. pebblo-classifier is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is pebblo-classifier best at?
pebblo-classifier is well-suited to text classification.
How do I use pebblo-classifier in osFoundry?
Paste your daxa-ai API key in the key dialog (or deploy the open weights for self-hostable models), assign pebblo-classifier to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by daxa-ai on January 16, 2024. Source: https://huggingface.co/daxa-ai/pebblo-classifier