lora_intent_classifier_bert-base-uncased_model
Built by llm-semantic-router, lora_intent_classifier_bert-base-uncased_model is an chat model. lora_intent_classifier_bert-base-uncased_model is an open-weights chat model.
by llm-semantic-router
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Ways to use lora_intent_classifier_bert-base-uncased_model in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your llm-semantic-router API key. osFoundry discovers lora_intent_classifier_bert-base-uncased_model 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
lora_intent_classifier_bert-base-uncased_model 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.
lora_intent_classifier_bert-base-uncased_model vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about lora_intent_classifier_bert-base-uncased_model
Is lora_intent_classifier_bert-base-uncased_model free to use?
lora_intent_classifier_bert-base-uncased_model 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 lora_intent_classifier_bert-base-uncased_model 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 lora_intent_classifier_bert-base-uncased_model locally?
Yes. lora_intent_classifier_bert-base-uncased_model is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is lora_intent_classifier_bert-base-uncased_model best at?
lora_intent_classifier_bert-base-uncased_model is well-suited to text classification.
How do I use lora_intent_classifier_bert-base-uncased_model in osFoundry?
Paste your llm-semantic-router API key in the key dialog (or deploy the open weights for self-hostable models), assign lora_intent_classifier_bert-base-uncased_model to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by llm-semantic-router on September 13, 2025. Source: https://huggingface.co/llm-semantic-router/lora_intent_classifier_bert-base-uncased_model