vit_base_patch8_224-s1-v0.2.0
BIFOLD-BigEarthNetv2-0's vit_base_patch8_224-s1-v0.2.0 is a image-generation model. vit_base_patch8_224-s1-v0.2.0 is an open-weights image model.
by BIFOLD-BigEarthNetv2-0
Best for
Ways to use vit_base_patch8_224-s1-v0.2.0 in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your BIFOLD-BigEarthNetv2-0 API key. osFoundry discovers vit_base_patch8_224-s1-v0.2.0 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
vit_base_patch8_224-s1-v0.2.0 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.
vit_base_patch8_224-s1-v0.2.0 vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about vit_base_patch8_224-s1-v0.2.0
Is vit_base_patch8_224-s1-v0.2.0 free to use?
vit_base_patch8_224-s1-v0.2.0 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 vit_base_patch8_224-s1-v0.2.0 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 vit_base_patch8_224-s1-v0.2.0 locally?
Yes. vit_base_patch8_224-s1-v0.2.0 is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is vit_base_patch8_224-s1-v0.2.0 best at?
vit_base_patch8_224-s1-v0.2.0 is well-suited to image classification.
How do I use vit_base_patch8_224-s1-v0.2.0 in osFoundry?
Paste your BIFOLD-BigEarthNetv2-0 API key in the key dialog (or deploy the open weights for self-hostable models), assign vit_base_patch8_224-s1-v0.2.0 to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by BIFOLD-BigEarthNetv2-0 on October 10, 2024. Source: https://huggingface.co/BIFOLD-BigEarthNetv2-0/vit_base_patch8_224-s1-v0.2.0