uniformer_base_tl_384
aehrc's uniformer_base_tl_384 is a embedding model. uniformer_base_tl_384 is an open-weights embed model.
by aehrc
Best for
Ways to use uniformer_base_tl_384 in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your aehrc API key. osFoundry discovers uniformer_base_tl_384 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
uniformer_base_tl_384 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.
uniformer_base_tl_384 vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about uniformer_base_tl_384
Is uniformer_base_tl_384 free to use?
uniformer_base_tl_384 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 uniformer_base_tl_384 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 uniformer_base_tl_384 locally?
Yes. uniformer_base_tl_384 is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is uniformer_base_tl_384 best at?
uniformer_base_tl_384 is well-suited to feature extraction.
How do I use uniformer_base_tl_384 in osFoundry?
Paste your aehrc API key in the key dialog (or deploy the open weights for self-hostable models), assign uniformer_base_tl_384 to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by aehrc on July 1, 2024. Source: https://huggingface.co/aehrc/uniformer_base_tl_384