Contrastive Booru-Image Embedding Model
The ViT-B model was replaced by another Encoder.
The images were tagged by the CL tagger. The caption (prompt) was tokenized by ModernBERT.
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.
Inference Providers
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