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---
license: apache-2.0
new_version: nightknocker/contrastive-u-dae
---
# Contrastive Booru-Image Embedding Model
The model was trained on [masked](https://huggingface.co/nightknocker/vit-base-patch16-224-masked) pixiv images, tagged by [CL tagger](https://huggingface.co/cella110n/cl_tagger).
The caption (prompt) was tokenized by [ModernBERT](https://huggingface.co/answerdotai/ModernBERT-base).
## Objectives
*Image-Caption Similarity Scoring*: The model assigns a score to each image based on how closely it is related to its associated caption.
*Image Labeling*: The image embedding is used to label images by character name.
## Updates
This version contains up to 4200 characters extracted from public and private datasets.