clip-ViT-B-32-vision
Built by Qdrant, clip-ViT-B-32-vision is an image-generation model. clip-ViT-B-32-vision is an open-weights image model.
by Qdrant
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Ways to use clip-ViT-B-32-vision in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your Qdrant API key. osFoundry discovers clip-ViT-B-32-vision 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-B-32-vision 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-B-32-vision 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-B-32-vision
Is clip-ViT-B-32-vision free to use?
clip-ViT-B-32-vision 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-B-32-vision 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-B-32-vision locally?
Yes. clip-ViT-B-32-vision is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is clip-ViT-B-32-vision best at?
clip-ViT-B-32-vision is well-suited to image classification.
How do I use clip-ViT-B-32-vision in osFoundry?
Paste your Qdrant API key in the key dialog (or deploy the open weights for self-hostable models), assign clip-ViT-B-32-vision to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by Qdrant on April 30, 2024. Source: https://huggingface.co/Qdrant/clip-ViT-B-32-vision