cd /news/computer-vision/google-vit-base-patch16-224 · home topics computer-vision article
[ARTICLE · art-55170] src=huggingbay.xyz ↗ pub= topic=computer-vision verified=true sentiment=· neutral

google/vit-base-patch16-224

Google's Vision Transformer base model, google/vit-base-patch16-224, is now available on Hugging Bay as a compact resilience fallback for high-demand AI artifacts. The 330 MB model, licensed under Apache 2.0, supports image classification and feature extraction and can run on CPU, Apple Silicon, or small consumer GPUs. The artifact is currently in pending scan status with external metadata only, and users are advised to use the upstream source or request a reviewed mirror.

read2 min views1 publishedJul 7, 2026
google/vit-base-patch16-224
Image: Huggingbay (auto-discovered)

google/vit-base-patch16-224: Popular Vision Transformer base model for image classification and vision feature extraction. License: apache-2.0. external huggingface metadata. Scan: pending.

  • License

  • apache-2.0

  • Size

  • 330.0 MB

  • Demand

  • 500 upstream downloads

  • Trust

  • Needs review 0/100

  • Trusted download

  • External metadata; mirror requestable

  • Run fit

  • Easy local fit: CPU, Apple Silicon, or a small consumer GPU is usually enough for smoke tests

  • Files

  • 0 hosted / 1 total

  • Scan status

  • pending

  • Hosting status

  • external

  • Upstream

  • google/vit-base-patch16-224

  • Declared license

  • apache-2.0

  • Pipeline

  • image-classification

  • Library

  • Transformers

  • Task categories

  • image-classification

About this artifact #

google/vit-base-patch16-224 is included in Hugging Bay's compact resilience fallback for high-demand open AI artifacts. Live Postgres metadata, hosted files, hashes, and reviews take precedence whenever available.

Trusted download #

External metadata; mirror requestable. Use upstream for now or add demand for a reviewed Hugging Bay mirror.

  • Hosted files
  • 0 of 1
  • Reviewed peer-assisted fallbacks
  • 0
  • Download plan
[Download-plan JSON](/api/artifacts/hf-model-google-vit-base-patch16-224/download-plan)- Trust bundle
[Trust-bundle JSON](/api/trust-bundles/hf-model-google-vit-base-patch16-224)- Review summary
[Review-summary JSON](/api/artifacts/hf-model-google-vit-base-patch16-224/review-summary)- Distribution
[Reviewed peer-fallback JSON](/api/artifacts/hf-model-google-vit-base-patch16-224/distribution)

Can I run this? #

Easy local fit. CPU, Apple Silicon, or a small consumer GPU is usually enough for smoke tests. Start with the local kit, verify hashes, then run a small inference or embedding check before production use.

  • Estimated footprint
  • 330.0 MB
  • Suggested runners
  • Transformers
  • Runtime files
  • 0
  • Local kit

Local run kit Run-fit warnings: No runtime weight file is indexed yet.; Hugging Bay is showing metadata only until reviewed hosted files exist.

- License: pass - apache-2.0
- Provenance: pass - google/vit-base-patch16-224
- Scan: warn - pending
- Hosted files: warn - external metadata only
- Signed manifest: fail - not final yet
- Community: warn - no reviews yet
- Benchmarks: warn - no benchmark evidence

Machine-readable card #

Open interactive artifact page

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