resnet101_clip.yfcc15m
Released by timm in 2024, resnet101_clip.yfcc15m is an image-generation model. resnet101_clip.yfcc15m is an open-weights image model.
by timm
Best for
- zero shot image classification
Ways to use resnet101_clip.yfcc15m in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your timm API key. osFoundry discovers resnet101_clip.yfcc15m 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
resnet101_clip.yfcc15m 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.
resnet101_clip.yfcc15m vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about resnet101_clip.yfcc15m
Is resnet101_clip.yfcc15m free to use?
resnet101_clip.yfcc15m 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 resnet101_clip.yfcc15m 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 resnet101_clip.yfcc15m locally?
Yes. resnet101_clip.yfcc15m is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is resnet101_clip.yfcc15m best at?
resnet101_clip.yfcc15m is well-suited to zero shot image classification.
How do I use resnet101_clip.yfcc15m in osFoundry?
Paste your timm API key in the key dialog (or deploy the open weights for self-hostable models), assign resnet101_clip.yfcc15m 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 23, 2024. Source: https://huggingface.co/timm/resnet101_clip.yfcc15m