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. google/vit-base-patch16-224 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 /local-kit/hf-model-google-vit-base-patch16-224 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 / /artifact/hf-model-google-vit-base-patch16-224