smoker_image_classification
Built by dima806, smoker_image_classification is an image-generation model. smoker_image_classification is an open-weights image model.
by dima806
Best for
Ways to use smoker_image_classification in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your dima806 API key. osFoundry discovers smoker_image_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
smoker_image_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.
smoker_image_classification vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about smoker_image_classification
Is smoker_image_classification free to use?
smoker_image_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 smoker_image_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 smoker_image_classification locally?
Yes. smoker_image_classification is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is smoker_image_classification best at?
smoker_image_classification is well-suited to image classification.
How do I use smoker_image_classification in osFoundry?
Paste your dima806 API key in the key dialog (or deploy the open weights for self-hostable models), assign smoker_image_classification to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by dima806 on November 21, 2023. Source: https://huggingface.co/dima806/smoker_image_classification