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Vjepa2 Vitl Fpc64 256

huggingface.co·Infrastructure·🇺🇸

V-JEPA 2 (facebook/vjepa2-vitl-fpc64-256) is a frontier video model from Meta's Fundamental AI Research (FAIR) team. It builds upon the original V-JEPA pretraining objectives to achieve state-of-the-art performance on video understanding tasks. The model supports video classification and feature extraction and is available with an MIT license for research and development use.

Open SourceMITWebCLIAPI
VVjepa2 Vitl Fpc64 256 preview
Visit huggingface.co↗
4.4kstars
544forks
2alternatives
2features
2025since

Overview

2 features

In the Other AI space, Vjepa2 Vitl Fpc64 256 takes a focused approach. It focuses on understanding and classifying video content using self-supervised learning without large amounts of labeled data. It is built as an open-source project for developers. The project is open source (MIT). Vjepa2 Vitl Fpc64 256 is available on the web, the command line, and API.

Behind Vjepa2 Vitl Fpc64 256 is Meta, based in the United States, and it first shipped in 2025. Development happens publicly on GitHub with 4.4k stars.

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

  • ✓Video Classification
  • ✓Feature Extraction
Tags
video-understandingself-supervisedmeta-fairvit-model
AI capabilities
Video
Inference: LocalWeights: 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
MIT
Verified signals
✓HTTPS✓Privacy Policy✓Terms of Service✓Open Source
Legal
Privacy Policy →Terms of Service →

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed22 Jul · 11:45 UTC
    facebook/vjepa2-vitl-fpc64-256 verified against its public source
    Source: PulseGate · Open ↗

Frequently asked questions about Vjepa2 Vitl Fpc64 256

What is Vjepa2 Vitl Fpc64 256?
Vjepa2 Vitl Fpc64 256 focuses on understanding and classifying video content using self-supervised learning without large amounts of labeled data. It is catalogued under Other AI on PulseGate.
Who should use Vjepa2 Vitl Fpc64 256?
Vjepa2 Vitl Fpc64 256 is an open-source project built for developers.
Does Vjepa2 Vitl Fpc64 256 have a free plan?
Yes — Vjepa2 Vitl Fpc64 256 is open source under the MIT license and free to use.
What platforms does Vjepa2 Vitl Fpc64 256 run on?
Vjepa2 Vitl Fpc64 256 runs on the web, the command line, and API.
Is Vjepa2 Vitl Fpc64 256 still maintained?
Unverified. Vjepa2 Vitl Fpc64 256 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 makes Vjepa2 Vitl Fpc64 256?
Vjepa2 Vitl Fpc64 256 is developed by Meta, based in the United States.
How long has Vjepa2 Vitl Fpc64 256 been around?
Vjepa2 Vitl Fpc64 256 first shipped in 2025.
Is Vjepa2 Vitl Fpc64 256 open source?
Yes — Vjepa2 Vitl Fpc64 256 is open source under the MIT license.

At a glance

Pricing
Open Source
Platforms
Cli · Web
Languages
English
License
MIT
Built for
developers
Model
Open source
Solves
Understanding and classifying video content using self-supervised learning without large amounts of labeled data.

Registered as

Hugging Face
facebook/vjepa2-vitl-fpc64-256

Developer

🇺🇸Meta
Team

Open source

Stars
4,379
Forks
544
Open issues
83
Last commit
23 Mar 2026
Commits 90d
0
Contributors
15
Authorship
Team
Default branch
main

Live coverage

Identity confidence
Medium · 70.4
Indexed
22 Jul 2026
Lifecycle
Alive
Last seen
22 Jul 2026
Identity audit (13)
Slug
facebook-vjepa2-vitl-fpc64-256-huggingface-co
Lifecycle state recorded
22 Jul 2026
Verification state
Indexed for public listing
Listing state
Listed: yes
Index status
Included in index
Latest evidence snapshot
22 Jul 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/vjepa2-vitl-fpc64-256

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