tiny-random-Florence2ForConditionalGeneration
Xenova's tiny-random-Florence2ForConditionalGeneration is a image-generation model. tiny-random-Florence2ForConditionalGeneration is an open-weights image model.
by Xenova
Best for
Ways to use tiny-random-Florence2ForConditionalGeneration in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your Xenova API key. osFoundry discovers tiny-random-Florence2ForConditionalGeneration 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
tiny-random-Florence2ForConditionalGeneration 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.
tiny-random-Florence2ForConditionalGeneration vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about tiny-random-Florence2ForConditionalGeneration
Is tiny-random-Florence2ForConditionalGeneration free to use?
tiny-random-Florence2ForConditionalGeneration 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 tiny-random-Florence2ForConditionalGeneration 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 tiny-random-Florence2ForConditionalGeneration locally?
Yes. tiny-random-Florence2ForConditionalGeneration is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is tiny-random-Florence2ForConditionalGeneration best at?
tiny-random-Florence2ForConditionalGeneration is well-suited to image text to text.
How do I use tiny-random-Florence2ForConditionalGeneration in osFoundry?
Paste your Xenova API key in the key dialog (or deploy the open weights for self-hostable models), assign tiny-random-Florence2ForConditionalGeneration to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by Xenova on June 20, 2024. Source: https://huggingface.co/Xenova/tiny-random-Florence2ForConditionalGeneration