🧠 Model
vit-base-patch16-224
by google
--- license: apache-2.0 tags: - vision - image-classification datasets: - imagenet-1k - imagenet-21k widget: - src: https://huggingface.co/datasets/mishig/sampl
🕐 Updated 12/19/2025
🧠 Architecture Explorer
Neural network architecture
1 Input Layer
2 Hidden Layers
3 Attention
4 Output Layer
About
Vision Transformer (ViT) model pre-trained on ImageNet-21k (14 milli...
📝 Limitations & Considerations
- • Benchmark scores may vary based on evaluation methodology and hardware configuration.
- • VRAM requirements are estimates; actual usage depends on quantization and batch size.
- • FNI scores are relative rankings and may change as new models are added.
- • Data source: [{"source_platform":"huggingface","source_url":"https://huggingface.co/google/vit-base-patch16-224","fetched_at":"2025-12-19T07:41:01.178Z","adapter_version":"3.2.0"}]
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