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PE Core S16 384

huggingface.co·Infrastructure·🇺🇸

Perception Encoder (PE) is a state-of-the-art vision encoder developed by Meta AI. It can be used as a CLIP-style model or as a general vision transformer for image and video understanding. Trained via simple vision-language objectives, it achieves strong performance across various downstream tasks.

Open SourceApache-2.0WebCLIAPI
PPE Core S16 384 preview
Visit huggingface.co↗
2.3kstars
160forks
1alternative
3features
2025since

Overview

3 features

PE Core S16 384 is an Other AI project. It focuses on creating unified high-performance encoders for both image and video understanding tasks. It is built as an open-source project for computer vision researchers. The project is open source (Apache-2.0). It runs on the web, the command line, and API.

It is developed by Meta AI (United States), and it first shipped in 2025. The project is developed in the open on GitHub with 2.3k stars. Among its 3 catalogued features are Vision Encoder, Zero-Shot Classification, and Image-Text Alignment.

Summary written by a language model from the project’s public pages.

  • ✓Vision Encoder
  • ✓Zero-Shot Classification
  • ✓Image-Text Alignment
Tags
perception-encodervision-languagemeta-ai
AI capabilities
Image
Weights: Open

Built with & integrations

Hosting
AWS
Runs on
BrowserCLIAPI-only
Detected from
AWS
x-amz-cf-id header · x-amz-cf-pop header · via header

Trust & compliance

License
Apache-2.0
Verified signals
✓HTTPS✓Privacy Policy✓Terms of Service✓Open Source✓Free tier
Legal
Privacy Policy →Terms of Service →

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed5 Aug · 08:05 UTC
    facebook/PE-Core-S16-384 verified against its public source
    Source: PulseGate · Open ↗

Frequently asked questions about PE Core S16 384

What is PE Core S16 384?
PE Core S16 384 focuses on creating unified high-performance encoders for both image and video understanding tasks. It is catalogued under Other AI on PulseGate.
Who should use PE Core S16 384?
PE Core S16 384 is an open-source project built for computer vision researchers.
Is PE Core S16 384 free?
Yes — PE Core S16 384 is open source under the Apache-2.0 license and free to use.
What platforms does PE Core S16 384 run on?
PE Core S16 384 runs on the web, the command line, and API.
Is PE Core S16 384 still active?
Unverified. PE Core S16 384 has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.
Who develops PE Core S16 384?
PE Core S16 384 is developed by Meta AI, based in the United States.
When did PE Core S16 384 launch?
PE Core S16 384 first shipped in 2025.
Is PE Core S16 384 open source?
Yes — PE Core S16 384 is open source under the Apache-2.0 license.

At a glance

Pricing
Open Source
Platforms
Cli · Web
Languages
English
License
Apache-2.0
Built for
computer vision researchers
Model
Open source
Solves
Creating unified high-performance encoders for both image and video understanding tasks.

Registered as

Hugging Face
facebook/PE-Core-S16-384

Developer

🇺🇸Meta AI
Team

Open source

Stars
2,334
Forks
160
Open issues
54
Last commit
13 Apr 2026
Commits 90d
0
Contributors
14
Authorship
Team
Default branch
main

Live coverage

Identity confidence
Medium · 70.4
Indexed
5 Aug 2026
Lifecycle
Alive
Last seen
5 Aug 2026
Identity audit (13)
Slug
facebook-pe-core-s16-384-huggingface-co
Lifecycle state recorded
5 Aug 2026
Verification state
Indexed for public listing
Listing state
Listed: yes
Index status
Included in index
Latest evidence snapshot
5 Aug 2026
Timeline basis
Indexed-at chronology. This listing's first-seen date was written by the catalog backfill, not observed here, so it is not treated as a sighting.
Name from
Derived from the project's own page and URL.
Category from
Derived from the model's own Hugging Face metadata.
Summary from
Written by a language model from public pages.
Languages from
Detected by a language model from page content.
Last updated
5 Aug 2026
Canonical URL
https://huggingface.co/facebook/PE-Core-S16-384

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