PP-LCNet_x1_0_table_cls
Built by PaddlePaddle, PP-LCNet_x1_0_table_cls is an image-generation model. PP-LCNet_x1_0_table_cls is an open-weights image model.
by PaddlePaddle
Best for
Ways to use PP-LCNet_x1_0_table_cls in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your PaddlePaddle API key. osFoundry discovers PP-LCNet_x1_0_table_cls 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
PP-LCNet_x1_0_table_cls 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.
PP-LCNet_x1_0_table_cls vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about PP-LCNet_x1_0_table_cls
Is PP-LCNet_x1_0_table_cls free to use?
PP-LCNet_x1_0_table_cls 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 PP-LCNet_x1_0_table_cls 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 PP-LCNet_x1_0_table_cls locally?
Yes. PP-LCNet_x1_0_table_cls is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is PP-LCNet_x1_0_table_cls best at?
PP-LCNet_x1_0_table_cls is well-suited to image to text.
How do I use PP-LCNet_x1_0_table_cls in osFoundry?
Paste your PaddlePaddle API key in the key dialog (or deploy the open weights for self-hostable models), assign PP-LCNet_x1_0_table_cls to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by PaddlePaddle on June 6, 2025. Source: https://huggingface.co/PaddlePaddle/PP-LCNet_x1_0_table_cls