effnet_b0_iNat2019_deepmoe_lambda7e-05
effnet_b0_iNat2019_deepmoe_lambda7e-05 is a image-generation model from G-reen, released April 20, 2026. effnet_b0_iNat2019_deepmoe_lambda7e-05 is an open-weights image model.
by G-reen
Best for
Ways to use effnet_b0_iNat2019_deepmoe_lambda7e-05 in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your G-reen API key. osFoundry discovers effnet_b0_iNat2019_deepmoe_lambda7e-05 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
effnet_b0_iNat2019_deepmoe_lambda7e-05 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.
effnet_b0_iNat2019_deepmoe_lambda7e-05 vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about effnet_b0_iNat2019_deepmoe_lambda7e-05
Is effnet_b0_iNat2019_deepmoe_lambda7e-05 free to use?
effnet_b0_iNat2019_deepmoe_lambda7e-05 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 effnet_b0_iNat2019_deepmoe_lambda7e-05 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 effnet_b0_iNat2019_deepmoe_lambda7e-05 locally?
Yes. effnet_b0_iNat2019_deepmoe_lambda7e-05 is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is effnet_b0_iNat2019_deepmoe_lambda7e-05 best at?
effnet_b0_iNat2019_deepmoe_lambda7e-05 is well-suited to image classification.
How do I use effnet_b0_iNat2019_deepmoe_lambda7e-05 in osFoundry?
Paste your G-reen API key in the key dialog (or deploy the open weights for self-hostable models), assign effnet_b0_iNat2019_deepmoe_lambda7e-05 to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by G-reen on April 20, 2026. Source: https://huggingface.co/G-reen/effnet_b0_iNat2019_deepmoe_lambda7e-05