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microvit-s1
henriquequeirozcunha/microvit-s1
microvit-s1 is a image classification model from henriquequeirozcunha. Use it when you need a label for an image. It is set up for transformers. The card lists the license as apache-2.0.
ImageNet-1K pretrained MicroViT-S1 (6.4M params, 72.6% Top-1 accuracy).
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At a glance
- Task
- Image Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- microvit
- Access
- Public
- Created
- Jul 1, 2026
- Updated
- Jul 1, 2026
- SHA
- cc64cd3c
Model card
From the Hugging Face model README
MicroViT-S1
ImageNet-1K pretrained MicroViT-S1 (6.4M params, 72.6% Top-1 accuracy).
Architecture: SHViT (Single-Head Vision Transformer) backbone. Source paper: https://arxiv.org/abs/2502.05800 Official repo: https://github.com/novendrastywn/MicroViT
Usage
from transformers import AutoModelForImageClassification, AutoImageProcessor
# Load ImageNet pretrained (1000 classes)
model = AutoModelForImageClassification.from_pretrained(
"henriquequeirozcunha/microvit-s1",
trust_remote_code=True,
)
# Fine-tune for binary classification
model = AutoModelForImageClassification.from_pretrained(
"henriquequeirozcunha/microvit-s1",
num_labels=2,
ignore_mismatched_sizes=True,
trust_remote_code=True,
)
Preprocessing: 224×224, ImageNet normalization (mean=[0.485,0.456,0.406], std=[0.229,0.224,0.225]).
- Task
- Image Classification
- Library
- transformers
- Type
- microvit
- License
- apache-2.0
- Created
- Jul 1, 2026
- Updated
- Jul 1, 2026