metadata
license: cc-by-nc-nd-4.0
pipeline_tag: image-segmentation
tags:
- one-shot anomaly-detection
- industrial-inspection
- meta-learning
- pytorch
library_name: pytorch
language:
- en
base_model:
- google/efficientnet-b4
MetaUAS Model Weights
This repository contains pre-trained weights for the MetaUAS anomaly detection model. This repository contains the paper described in MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning
Model Files
| File | Description | Size |
|---|---|---|
metauas-256.ckpt |
MetaUAS model (256x256 resolution) | ~85MB |
metauas-512.ckpt |
MetaUAS model (512x512 resolution) | ~85MB |
Usage
from huggingface_hub import hf_hub_download
# Download a specific file （"metauas-256.ckpt"） from a Hugging Face repository
file_path = hf_hub_download(
repo_id="csgaobb/MetaUAS",
filename="metauas-256.ckpt",
repo_type="model" # Optional: defaults to "model"
)
# Output the local cache path where the file is stored
print(f"File successfully downloaded to: {file_path}")
License
cc-by-nc-nd-4.0