efficientnet_b0-mlxim
mlx-vision's efficientnet_b0-mlxim is a image-generation model. efficientnet_b0-mlxim is an open-weights image model.
by mlx-vision
Best for
Ways to use efficientnet_b0-mlxim in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your mlx-vision API key. osFoundry discovers efficientnet_b0-mlxim 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
efficientnet_b0-mlxim 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.
efficientnet_b0-mlxim vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about efficientnet_b0-mlxim
Is efficientnet_b0-mlxim free to use?
efficientnet_b0-mlxim 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 efficientnet_b0-mlxim 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 efficientnet_b0-mlxim locally?
Yes. efficientnet_b0-mlxim is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is efficientnet_b0-mlxim best at?
efficientnet_b0-mlxim is well-suited to image classification.
How do I use efficientnet_b0-mlxim in osFoundry?
Paste your mlx-vision API key in the key dialog (or deploy the open weights for self-hostable models), assign efficientnet_b0-mlxim to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by mlx-vision on October 25, 2025. Source: https://huggingface.co/mlx-vision/efficientnet_b0-mlxim