timm/vit_tiny_patch16_224.augreg_in21k
image-classification model by timm
From the publisher
Model card & documentation
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A Vision Transformer (ViT) image classification model. Trained on ImageNet-21k (with additional augmentation and regularization) in JAX by paper authors, ported to PyTorch…
Read the full model card ↗ · Preview checked 2026-09-24T06:43:32.904Z
Inside the original model card — Document outline
- Model card for vittinypatch16224.augregin21k
- Model Details
- Model Usage
- Image Classification
- Image Embeddings
- Model Comparison
- Citation
Headings are captured from the source. Links open the publisher’s document, not a locally hosted copy.
Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
timm/vit_tiny_patch16_224.augreg_in21k is a image-classification model repository published by timm on Hugging Face. The source reports the timm library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- image-classification
- Library
- timm
- Recent downloads (30 days)
- 59,530
- Cumulative likes
- 5
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 9,740,115
- Architecture
- Not reported
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2022-12-22T07:55:55.000Z
- Last modified
- 2025-01-21T19:16:50.000Z
Compatibility and lineage
Language coverage was not reported.
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-09-24T06:39:30.509Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
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