flan-t5-base-mnli
flan-t5-base-mnli (sjrhuschlee, 2023) is an chat model. flan-t5-base-mnli is an open-weights chat model.
by sjrhuschlee
Best for
Ways to use flan-t5-base-mnli in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your sjrhuschlee API key. osFoundry discovers flan-t5-base-mnli 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
flan-t5-base-mnli 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.
flan-t5-base-mnli vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about flan-t5-base-mnli
Is flan-t5-base-mnli free to use?
flan-t5-base-mnli 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 flan-t5-base-mnli 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 flan-t5-base-mnli locally?
Yes. flan-t5-base-mnli is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is flan-t5-base-mnli best at?
flan-t5-base-mnli is well-suited to zero shot classification.
How do I use flan-t5-base-mnli in osFoundry?
Paste your sjrhuschlee API key in the key dialog (or deploy the open weights for self-hostable models), assign flan-t5-base-mnli to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by sjrhuschlee on July 9, 2023. Source: https://huggingface.co/sjrhuschlee/flan-t5-base-mnli