clip-vit-base-patch16
Xenova's clip-vit-base-patch16 is a image-generation model. clip-vit-base-patch16 is an open-weights image model.
by Xenova
Best for
- zero shot image classification
Ways to use clip-vit-base-patch16 in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your Xenova API key. osFoundry discovers clip-vit-base-patch16 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
clip-vit-base-patch16 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.
clip-vit-base-patch16 vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about clip-vit-base-patch16
Is clip-vit-base-patch16 free to use?
clip-vit-base-patch16 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 clip-vit-base-patch16 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 clip-vit-base-patch16 locally?
Yes. clip-vit-base-patch16 is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is clip-vit-base-patch16 best at?
clip-vit-base-patch16 is well-suited to zero shot image classification.
How do I use clip-vit-base-patch16 in osFoundry?
Paste your Xenova API key in the key dialog (or deploy the open weights for self-hostable models), assign clip-vit-base-patch16 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 19, 2023. Source: https://huggingface.co/Xenova/clip-vit-base-patch16