clip-vit-base-patch16_mnist
Released by tanganke in 2024, clip-vit-base-patch16_mnist is an chat model. clip-vit-base-patch16_mnist is an open-weights chat model.
by tanganke
Best for
- low-latency chat and routing
- request routing and triage
- text classification
Ways to use clip-vit-base-patch16_mnist in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your tanganke API key. osFoundry discovers clip-vit-base-patch16_mnist 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_mnist 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_mnist 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_mnist
Is clip-vit-base-patch16_mnist free to use?
clip-vit-base-patch16_mnist 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_mnist 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_mnist locally?
Yes. clip-vit-base-patch16_mnist 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_mnist best at?
clip-vit-base-patch16_mnist is well-suited to low-latency chat and routing, request routing and triage, text classification.
How do I use clip-vit-base-patch16_mnist in osFoundry?
Paste your tanganke API key in the key dialog (or deploy the open weights for self-hostable models), assign clip-vit-base-patch16_mnist to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by tanganke on August 27, 2024. Source: https://huggingface.co/tanganke/clip-vit-base-patch16_mnist