nli-MiniLM2-L6-H768
Released by cross-encoder in 2022, nli-MiniLM2-L6-H768 is an chat model. nli-MiniLM2-L6-H768 is an open-weights chat model.
by cross-encoder
Best for
Ways to use nli-MiniLM2-L6-H768 in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your cross-encoder API key. osFoundry discovers nli-MiniLM2-L6-H768 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
nli-MiniLM2-L6-H768 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.
nli-MiniLM2-L6-H768 vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about nli-MiniLM2-L6-H768
Is nli-MiniLM2-L6-H768 free to use?
nli-MiniLM2-L6-H768 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 nli-MiniLM2-L6-H768 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 nli-MiniLM2-L6-H768 locally?
Yes. nli-MiniLM2-L6-H768 is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is nli-MiniLM2-L6-H768 best at?
nli-MiniLM2-L6-H768 is well-suited to zero shot classification.
How do I use nli-MiniLM2-L6-H768 in osFoundry?
Paste your cross-encoder API key in the key dialog (or deploy the open weights for self-hostable models), assign nli-MiniLM2-L6-H768 to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by cross-encoder on March 2, 2022. Source: https://huggingface.co/cross-encoder/nli-MiniLM2-L6-H768