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