vit-base-patch16-224-in21k
vit-base-patch16-224-in21k (Xenova, 2023) is an image-generation model. vit-base-patch16-224-in21k is an open-weights image model.
by Xenova
Best for
Ways to use vit-base-patch16-224-in21k in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your Xenova API key. osFoundry discovers vit-base-patch16-224-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-base-patch16-224-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-base-patch16-224-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-base-patch16-224-in21k
Is vit-base-patch16-224-in21k free to use?
vit-base-patch16-224-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-base-patch16-224-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-base-patch16-224-in21k locally?
Yes. vit-base-patch16-224-in21k is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is vit-base-patch16-224-in21k best at?
vit-base-patch16-224-in21k is well-suited to image feature extraction.
How do I use vit-base-patch16-224-in21k in osFoundry?
Paste your Xenova API key in the key dialog (or deploy the open weights for self-hostable models), assign vit-base-patch16-224-in21k to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by Xenova on May 3, 2023. Source: https://huggingface.co/Xenova/vit-base-patch16-224-in21k