Sentence-LUKE Japanese Embeddings
| Property | Value |
|---|---|
| Base Model | studio-ousia/luke-japanese-base-lite |
| Author | cheonboy |
| Model URL | HuggingFace Repository |
What is sentence_embedding_japanese?
sentence_embedding_japanese is a specialized Japanese language model that leverages the LUKE (Language Understanding with Knowledge-based Embeddings) architecture to generate high-quality sentence embeddings. Built upon the luke-japanese-base-lite foundation, this model has been specifically trained to match or exceed the performance of traditional Japanese Sentence-BERT models.
Implementation Details
The model implements a sophisticated embedding generation process using the LUKE architecture, incorporating mean pooling strategies and batch processing capabilities. It requires SentencePiece tokenization and supports both CPU and GPU inference.
- Utilizes MLukeTokenizer for Japanese text processing
- Implements efficient batch processing with customizable batch sizes
- Supports dynamic device selection (CPU/GPU)
- Incorporates mean pooling for generating sentence embeddings
Core Capabilities
- Generation of semantic sentence embeddings for Japanese text
- Comparable or superior performance (+0.5pt) to Japanese Sentence-BERT models
- Efficient batch processing of multiple sentences
- Support for variable-length input with automatic padding
Frequently Asked Questions
Q: What makes this model unique?
This model distinguishes itself by utilizing the LUKE architecture specifically for Japanese sentence embeddings, showing improved qualitative performance compared to traditional Sentence-BERT models while maintaining competitive quantitative metrics.
Q: What are the recommended use cases?
The model is particularly well-suited for Japanese text similarity tasks, semantic search, document clustering, and other NLP applications requiring high-quality sentence embeddings in Japanese.
