SSLAM_AS2M_Finetuned
Built by ta012, SSLAM_AS2M_Finetuned is an embedding model. SSLAM_AS2M_Finetuned is an open-weights embed model.
by ta012
Best for
Ways to use SSLAM_AS2M_Finetuned in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your ta012 API key. osFoundry discovers SSLAM_AS2M_Finetuned 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
SSLAM_AS2M_Finetuned 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.
SSLAM_AS2M_Finetuned vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about SSLAM_AS2M_Finetuned
Is SSLAM_AS2M_Finetuned free to use?
SSLAM_AS2M_Finetuned 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 SSLAM_AS2M_Finetuned 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 SSLAM_AS2M_Finetuned locally?
Yes. SSLAM_AS2M_Finetuned is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is SSLAM_AS2M_Finetuned best at?
SSLAM_AS2M_Finetuned is well-suited to feature extraction.
How do I use SSLAM_AS2M_Finetuned in osFoundry?
Paste your ta012 API key in the key dialog (or deploy the open weights for self-hostable models), assign SSLAM_AS2M_Finetuned to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by ta012 on September 30, 2025. Source: https://huggingface.co/ta012/SSLAM_AS2M_Finetuned