gbnam8/jp-music-title-encoder
sentence-similarity model by gbnam8
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Model card & documentation
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A small embedding model for retrieving duplicate music entities: the same song, artist or release under different titles across sources (MusicBrainz, Spotify, YouTube, Discogs, SoundCloud). Built for Japanese-domain music (J-Pop, anime, VTuber, Vocaloid, game, idol), including its English and romaji spellings, plus a smaller Western tier. It is a candidate generator (blocking) for a dedup pipeline: retrieve top-k neighbours, then let a separate decider judge each pair. multilingual-e5-small teacher; XLM-R vocabulary pruned to 75,458 tokens. 1.1 ms/title on 16 CPU threads, 3.8 ms on 1. cost. known, else "{title}". The separator is literally [A] . With the artist, covers of the same song by different artists are kept apart. X Official, A Ch. 名前 - Group, 名前【事務所】, X (2)) are handled by the model; no parsing needed. Held-out library of 26k entries (no library entity, credited artist, or same-named artist is in the training data). Recall@20 at pool sizes 11k…
Read the full model card ↗ · Preview checked 2026-10-02T07:49:29.885Z
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Model overview
gbnam8/jp-music-title-encoder is a sentence-similarity model repository published by gbnam8 on Hugging Face. The source reports the sentence-transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- sentence-similarity
- Library
- sentence-transformers
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 39,968,640
- Architecture
- BertModel
- License
- mit
- Access
- Not gated by Hugging Face
- Created
- 2026-10-02T06:20:46.000Z
- Last modified
- 2026-10-02T06:37:52.000Z
Compatibility and lineage
Reported languages: ja, en
Reported base models: intfloat/multilingual-e5-small
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-02T06:39:29.113Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
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