vit_tiny_r_s16_p8_224.augreg_in21k
Released by timm in 2022, vit_tiny_r_s16_p8_224.augreg_in21k is an image-generation model. vit_tiny_r_s16_p8_224.augreg_in21k is an open-weights image model.
by timm
Best for
Ways to use vit_tiny_r_s16_p8_224.augreg_in21k in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your timm API key. osFoundry discovers vit_tiny_r_s16_p8_224.augreg_in21k 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
vit_tiny_r_s16_p8_224.augreg_in21k 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.
vit_tiny_r_s16_p8_224.augreg_in21k vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about vit_tiny_r_s16_p8_224.augreg_in21k
Is vit_tiny_r_s16_p8_224.augreg_in21k free to use?
vit_tiny_r_s16_p8_224.augreg_in21k 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 vit_tiny_r_s16_p8_224.augreg_in21k 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 vit_tiny_r_s16_p8_224.augreg_in21k locally?
Yes. vit_tiny_r_s16_p8_224.augreg_in21k is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is vit_tiny_r_s16_p8_224.augreg_in21k best at?
vit_tiny_r_s16_p8_224.augreg_in21k is well-suited to image classification.
How do I use vit_tiny_r_s16_p8_224.augreg_in21k in osFoundry?
Paste your timm API key in the key dialog (or deploy the open weights for self-hostable models), assign vit_tiny_r_s16_p8_224.augreg_in21k to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by timm on December 23, 2022. Source: https://huggingface.co/timm/vit_tiny_r_s16_p8_224.augreg_in21k