vit_large_patch14_clip_336.datacompxl_ft_augreg_inat21
vit_large_patch14_clip_336.datacompxl_ft_augreg_inat21 (timm, 2023) is an image-generation model. vit_large_patch14_clip_336.datacompxl_ft_augreg_inat21 is an open-weights image model.
by timm
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Ways to use vit_large_patch14_clip_336.datacompxl_ft_augreg_inat21 in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your timm API key. osFoundry discovers vit_large_patch14_clip_336.datacompxl_ft_augreg_inat21 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
vit_large_patch14_clip_336.datacompxl_ft_augreg_inat21 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.
vit_large_patch14_clip_336.datacompxl_ft_augreg_inat21 vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about vit_large_patch14_clip_336.datacompxl_ft_augreg_inat21
Is vit_large_patch14_clip_336.datacompxl_ft_augreg_inat21 free to use?
vit_large_patch14_clip_336.datacompxl_ft_augreg_inat21 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 vit_large_patch14_clip_336.datacompxl_ft_augreg_inat21 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 vit_large_patch14_clip_336.datacompxl_ft_augreg_inat21 locally?
Yes. vit_large_patch14_clip_336.datacompxl_ft_augreg_inat21 is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is vit_large_patch14_clip_336.datacompxl_ft_augreg_inat21 best at?
vit_large_patch14_clip_336.datacompxl_ft_augreg_inat21 is well-suited to image classification.
How do I use vit_large_patch14_clip_336.datacompxl_ft_augreg_inat21 in osFoundry?
Paste your timm API key in the key dialog (or deploy the open weights for self-hostable models), assign vit_large_patch14_clip_336.datacompxl_ft_augreg_inat21 to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by timm on October 25, 2023. Source: https://huggingface.co/timm/vit_large_patch14_clip_336.datacompxl_ft_augreg_inat21