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mmarkusmalone
/
album_moods_embedding_stage2

Sentence Similarity
sentence-transformers
Safetensors
mpnet
feature-extraction
dense
Generated from Trainer
dataset_size:9362
loss:TripletLoss
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use mmarkusmalone/album_moods_embedding_stage2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use mmarkusmalone/album_moods_embedding_stage2 with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("mmarkusmalone/album_moods_embedding_stage2")
    
    sentences = [
        "metal christmas violin",
        "Learning in Public EP. by Downtown Kayoto. Genre: Pop/R&B; Released: 2023. Review: previous slick just double still whole young time unkind good downtown captivating more pretend latest assured its living born unguarded his public compulsive familiar sweet old odd fun away urgent frank accompanying trick which well much depressive best compelling twinkling nice high brilliant most both slow small all nimble forthright fuzzy right potent new average bouncy left little impressive medical working real one remarkable these transparent honest different half proficient Blending fuzzy guitars and 2-step beats, the UK singer’s richly textured DIY pop looks to Britpop and garage, Frank Ocean and Drake.",
        "Blue Lambency Downward. by Kayo Dot. Genre: Metal; Released: 2008. Review: time more effective old close well melodramatic third both certain two vocal little unconvincing political waste whose half each still emotional very vague bouncing away instrumental sharp former only much dynamic even bright rhythmic short melodic awkward downward least hesitant near previous holistic progressive symptomatic exhaustive empty playful used his disappointing loud which tangled bad other singular important first right symmetrical one worse understated tepid polite seven its unwieldy constant big opening textural best wooden high blue minute most slow all provocative left memorable full overbearing Third album from symphonic prog-metal outfit finds the band pared down to just two primary members-- Mia Matsumiya on strings and vocals and ex-Maudlin of the Well member Toby Driver on guitars, strings, reeds, and vocals-- but their sound is just as huge and melodramatic.",
        "The Cavern EP. by Inter Arma. Genre: Metal; Released: 2014. Review: mere more long its quiet final discarded his inclusive eager electric inside single big musical increasing learned moving plus former only light which uncompromising written best overall condensed pink luminescent grand both kind all every solitary bigger uninterrupted unapologetic commercial first direct convenient down working pastoral unilateral full five one these last echoing commanding surly quick whose acoustic mountain her eight gorgeous Nominally a metal act, Inter Arma have anchored their full-length albums to itinerant bristling guitars and doubled-down drums, with sections that plunged alternately into doom’s lurch and death’s leaps. Their excellent new EP, featuring vocals from Windhand’s Dorthia Cottrell, consists of a single 46-minute piece that feels like a condensed and uncompromising version of the Richmond, Virginia quintet’s prevailing vision."
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
album_moods_embedding_stage2
439 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 2 commits
Maya Markus-Malone
Add stage2 model files
5bed1cc 8 months ago
  • 1_Pooling
    Add stage2 model files 8 months ago
  • .gitattributes
    1.52 kB
    initial commit 8 months ago
  • README.md
    30.6 kB
    Add stage2 model files 8 months ago
  • config.json
    545 Bytes
    Add stage2 model files 8 months ago
  • config_sentence_transformers.json
    283 Bytes
    Add stage2 model files 8 months ago
  • model.safetensors
    438 MB
    xet
    Add stage2 model files 8 months ago
  • modules.json
    349 Bytes
    Add stage2 model files 8 months ago
  • sentence_bert_config.json
    57 Bytes
    Add stage2 model files 8 months ago
  • special_tokens_map.json
    964 Bytes
    Add stage2 model files 8 months ago
  • tokenizer.json
    711 kB
    Add stage2 model files 8 months ago
  • tokenizer_config.json
    1.62 kB
    Add stage2 model files 8 months ago
  • vocab.txt
    232 kB
    Add stage2 model files 8 months ago