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denaya
/
indoSBERT-large

Sentence Similarity
sentence-transformers
PyTorch
Indonesian
bert
feature-extraction
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use denaya/indoSBERT-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use denaya/indoSBERT-large with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("denaya/indoSBERT-large")
    
    sentences = [
        "The weather is lovely today.",
        "It's so sunny outside!",
        "He drove to the stadium."
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [3, 3]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
indoSBERT-large
1.34 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 11 commits
denaya's picture
denaya
Delete citation-369556815.txt
5c64d43 almost 3 years ago
  • 1_Pooling
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  • 2_Dense
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  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • README.md
    3.23 kB
    Update README.md almost 3 years ago
  • config.json
    1.1 kB
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  • config_sentence_transformers.json
    117 Bytes
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  • modules.json
    341 Bytes
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  • pytorch_model.bin

    Detected Pickle imports (4)

    • "torch.LongStorage",
    • "torch._utils._rebuild_tensor_v2",
    • "torch.FloatStorage",
    • "collections.OrderedDict"

    What is a pickle import?

    1.34 GB
    xet
    Upload 12 files almost 3 years ago
  • sentence_bert_config.json
    53 Bytes
    Upload 12 files almost 3 years ago
  • special_tokens_map.json
    125 Bytes
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  • tokenizer.json
    709 kB
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  • tokenizer_config.json
    394 Bytes
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  • vocab.txt
    229 kB
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