---
license: apache-2.0
pipeline_tag: image-feature-extraction
---

# Contrastive Booru-Image Embedding Model

The ViT-B model was replaced by another [Encoder](https://huggingface.co/nightknocker/u-dae-nll).

The images were tagged by the [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 4000 female characters extracted from public and private datasets.