---
license: cc-by-nc-nd-4.0
pipeline_tag: image-segmentation
tags:
- one-shot anomaly-detection
- industrial-inspection
- meta-learning
- efficientnet
- pytorch
library_name: pytorch
language:
- en
base_model:
- google/efficientnet-b4
---

# MetaUAS Model Weights

This repository contains pre-trained MetaUAS weights for one-shot anomaly detection. This repository contains the paper described in [MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning](https://huggingface.co/papers/2505.09265)

## Model Files

| File | Description | Size |
|------|-------------|------|
| `metauas-256.ckpt` | MetaUAS model (256x256 resolution) | 85MB |
| `metauas-512.ckpt` | MetaUAS model (512x512 resolution) | 85MB |


## Usage

```python
from huggingface_hub import hf_hub_download

# Download model
model_path = hf_hub_download(
    repo_id="your-username/MetaUAS-weights",
    filename="metauas-256.ckpt"
)
```

## License

cc-by-nc-nd-4.0