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yahyaabd
/
allstats-search-mini-v2

Sentence Similarity
sentence-transformers
Safetensors
bert
feature-extraction
Generated from Trainer
dataset_size:64260
loss:CosineSimilarityLoss
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use yahyaabd/allstats-search-mini-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use yahyaabd/allstats-search-mini-v2 with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("yahyaabd/allstats-search-mini-v2")
    
    sentences = [
        "q-2216",
        "Statistik Potensi Desa Provinsi Jambi 2008",
        "Indeks Harga Sahsm",
        "17cb76daaeda2a9d92a30af3"
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
allstats-search-mini-v2
503 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
yahyaabd's picture
yahyaabd
Add new SentenceTransformer model
c1607e0 verified about 1 year ago
  • 1_Pooling
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  • .gitattributes
    1.62 kB
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  • README.md
    20.1 kB
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  • config.json
    698 Bytes
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  • config_sentence_transformers.json
    205 Bytes
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  • model.safetensors
    471 MB
    xet
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  • modules.json
    229 Bytes
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  • sentence_bert_config.json
    53 Bytes
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  • special_tokens_map.json
    964 Bytes
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  • tokenizer.json
    17.1 MB
    xet
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  • tokenizer_config.json
    1.45 kB
    Add new SentenceTransformer model about 1 year ago
  • unigram.json
    14.8 MB
    xet
    Add new SentenceTransformer model about 1 year ago