bert_tiny_en_uncased
Built by keras, bert_tiny_en_uncased is an chat model. bert_tiny_en_uncased is an open-weights chat model.
by keras
Best for
Ways to use bert_tiny_en_uncased in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your keras API key. osFoundry discovers bert_tiny_en_uncased 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
bert_tiny_en_uncased 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.
bert_tiny_en_uncased vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about bert_tiny_en_uncased
Is bert_tiny_en_uncased free to use?
bert_tiny_en_uncased 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 bert_tiny_en_uncased 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 bert_tiny_en_uncased locally?
Yes. bert_tiny_en_uncased is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is bert_tiny_en_uncased best at?
bert_tiny_en_uncased is well-suited to text classification.
How do I use bert_tiny_en_uncased in osFoundry?
Paste your keras API key in the key dialog (or deploy the open weights for self-hostable models), assign bert_tiny_en_uncased to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by keras on October 28, 2024. Source: https://huggingface.co/keras/bert_tiny_en_uncased