clip-vit-b32-onnx
clip-vit-b32-onnx is a image-generation model from sayantan47, released July 26, 2025. clip-vit-b32-onnx is an open-weights image model.
by sayantan47
Best for
- zero shot image classification
Ways to use clip-vit-b32-onnx in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your sayantan47 API key. osFoundry discovers clip-vit-b32-onnx 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-b32-onnx 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-b32-onnx 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-b32-onnx
Is clip-vit-b32-onnx free to use?
clip-vit-b32-onnx 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-b32-onnx 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-b32-onnx locally?
Yes. clip-vit-b32-onnx is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is clip-vit-b32-onnx best at?
clip-vit-b32-onnx is well-suited to zero shot image classification.
How do I use clip-vit-b32-onnx in osFoundry?
Paste your sayantan47 API key in the key dialog (or deploy the open weights for self-hostable models), assign clip-vit-b32-onnx to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by sayantan47 on July 26, 2025. Source: https://huggingface.co/sayantan47/clip-vit-b32-onnx