TrOCR_Math_handwritten
TrOCR_Math_handwritten is a image-generation model from fhswf, released July 22, 2024. TrOCR_Math_handwritten is an open-weights image model.
by fhswf
Best for
Ways to use TrOCR_Math_handwritten in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your fhswf API key. osFoundry discovers TrOCR_Math_handwritten 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
TrOCR_Math_handwritten 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.
TrOCR_Math_handwritten vs similar models
| Model | Org | Params | Context | Input price | Self-host |
|---|
| TrOCR_Math_handwritten | fhswf | — | — | Free (local) | Yes |
| ResNet18 | qualcomm | — | — | Free (local) | Yes |
| UrangDiffusion-2.0 | kayfahaarukku | — | — | Free (local) | Yes |
| FLUX.1-schnell | frankjoshua | — | — | Free (local) | Yes |
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about TrOCR_Math_handwritten
Is TrOCR_Math_handwritten free to use?
TrOCR_Math_handwritten 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 TrOCR_Math_handwritten 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 TrOCR_Math_handwritten locally?
Yes. TrOCR_Math_handwritten is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is TrOCR_Math_handwritten best at?
TrOCR_Math_handwritten is well-suited to image to text.
How do I use TrOCR_Math_handwritten in osFoundry?
Paste your fhswf API key in the key dialog (or deploy the open weights for self-hostable models), assign TrOCR_Math_handwritten to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by fhswf on July 22, 2024. Source: https://huggingface.co/fhswf/TrOCR_Math_handwritten