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yahyaabd
/
indoSBERT-Large-mnrl-2

Sentence Similarity
sentence-transformers
Safetensors
bert
feature-extraction
Generated from Trainer
dataset_size:967831
loss:MultipleNegativesRankingLoss
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use yahyaabd/indoSBERT-Large-mnrl-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use yahyaabd/indoSBERT-Large-mnrl-2 with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("yahyaabd/indoSBERT-Large-mnrl-2")
    
    sentences = [
        "Penghasilan freelancer per provinsi, beda umur 2016",
        "Rata-rata Pendapatan Bersih Pekerja Bebas Menurut Provinsi dan Kelompok Umur (ribu rupiah), 2016",
        "Konkordansi Klasifikasi Tabel Inter Regional Input-Output Indonesia, 2016 (52 Industri - 17 Lapangan Usaha)",
        "Rata-rata Konsumsi dan Pengeluaran Perkapita Seminggu Menurut Komoditi Makanan dan Golongan Pengeluaran per Kapita Seminggu di Provinsi Maluku, 2018-2023"
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
indoSBERT-Large-mnrl-2
1.34 GB
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  • 1 contributor
History: 2 commits
yahyaabd's picture
yahyaabd
Add new SentenceTransformer model
09d13eb verified about 1 year ago
  • 1_Pooling
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  • 2_Dense
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  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    23.7 kB
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  • config.json
    1.09 kB
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  • config_sentence_transformers.json
    205 Bytes
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  • model.safetensors
    1.34 GB
    xet
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  • modules.json
    341 Bytes
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  • sentence_bert_config.json
    53 Bytes
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  • special_tokens_map.json
    695 Bytes
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  • tokenizer.json
    709 kB
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  • tokenizer_config.json
    1.46 kB
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  • vocab.txt
    229 kB
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