XraySigLIP__vit-b-16-siglip-512__webli
StanfordAIMI's XraySigLIP__vit-b-16-siglip-512__webli is a image-generation model. XraySigLIP__vit-b-16-siglip-512__webli is an open-weights image model.
by StanfordAIMI
Best for
- zero shot image classification
Ways to use XraySigLIP__vit-b-16-siglip-512__webli in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your StanfordAIMI API key. osFoundry discovers XraySigLIP__vit-b-16-siglip-512__webli 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
XraySigLIP__vit-b-16-siglip-512__webli 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.
XraySigLIP__vit-b-16-siglip-512__webli vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about XraySigLIP__vit-b-16-siglip-512__webli
Is XraySigLIP__vit-b-16-siglip-512__webli free to use?
XraySigLIP__vit-b-16-siglip-512__webli 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 XraySigLIP__vit-b-16-siglip-512__webli 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 XraySigLIP__vit-b-16-siglip-512__webli locally?
Yes. XraySigLIP__vit-b-16-siglip-512__webli is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is XraySigLIP__vit-b-16-siglip-512__webli best at?
XraySigLIP__vit-b-16-siglip-512__webli is well-suited to zero shot image classification.
How do I use XraySigLIP__vit-b-16-siglip-512__webli in osFoundry?
Paste your StanfordAIMI API key in the key dialog (or deploy the open weights for self-hostable models), assign XraySigLIP__vit-b-16-siglip-512__webli to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by StanfordAIMI on March 11, 2024. Source: https://huggingface.co/StanfordAIMI/XraySigLIP__vit-b-16-siglip-512__webli