BiomedCLIP-PubMedBERT_256-vit_base_patch16_224
Released by microsoft in 2023, BiomedCLIP-PubMedBERT_256-vit_base_patch16_224 is an image-generation model. BiomedCLIP-PubMedBERT_256-vit_base_patch16_224 is an open-weights image model.
by microsoft
Best for
- zero shot image classification
Ways to use BiomedCLIP-PubMedBERT_256-vit_base_patch16_224 in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your microsoft API key. osFoundry discovers BiomedCLIP-PubMedBERT_256-vit_base_patch16_224 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
BiomedCLIP-PubMedBERT_256-vit_base_patch16_224 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.
BiomedCLIP-PubMedBERT_256-vit_base_patch16_224 vs similar models
| Model | Org | Params | Context | Input price | Self-host |
|---|
| BiomedCLIP-PubMedBERT_256-vit_base_patch16_224 | microsoft | — | — | Free (local) | Yes |
| chandra-ocr-2 | datalab-to | — | — | Free (local) | Yes |
| deepseek-vl2-tiny | deepseek-ai | — | — | Free (local) | Yes |
| sdxl-turbo | stabilityai | — | — | Free (local) | Yes |
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about BiomedCLIP-PubMedBERT_256-vit_base_patch16_224
Is BiomedCLIP-PubMedBERT_256-vit_base_patch16_224 free to use?
BiomedCLIP-PubMedBERT_256-vit_base_patch16_224 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 BiomedCLIP-PubMedBERT_256-vit_base_patch16_224 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 BiomedCLIP-PubMedBERT_256-vit_base_patch16_224 locally?
Yes. BiomedCLIP-PubMedBERT_256-vit_base_patch16_224 is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is BiomedCLIP-PubMedBERT_256-vit_base_patch16_224 best at?
BiomedCLIP-PubMedBERT_256-vit_base_patch16_224 is well-suited to zero shot image classification.
How do I use BiomedCLIP-PubMedBERT_256-vit_base_patch16_224 in osFoundry?
Paste your microsoft API key in the key dialog (or deploy the open weights for self-hostable models), assign BiomedCLIP-PubMedBERT_256-vit_base_patch16_224 to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by microsoft on April 5, 2023. Source: https://huggingface.co/microsoft/BiomedCLIP-PubMedBERT_256-vit_base_patch16_224