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karakastarik
/
paraphrase-multilingual-MiniLM-L12-v2-spelling-correction

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

Instructions to use karakastarik/paraphrase-multilingual-MiniLM-L12-v2-spelling-correction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use karakastarik/paraphrase-multilingual-MiniLM-L12-v2-spelling-correction with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("karakastarik/paraphrase-multilingual-MiniLM-L12-v2-spelling-correction")
    
    sentences = [
        "That is a happy person",
        "That is a happy dog",
        "That is a very happy person",
        "Today is a sunny day"
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
paraphrase-multilingual-MiniLM-L12-v2-spelling-correction
488 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 21 commits
karakastarik's picture
karakastarik
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9e83442 about 3 years ago
  • 1_Pooling
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  • 2_Dense
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  • .gitattributes
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  • README.md
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  • config.json
    701 Bytes
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  • config_sentence_transformers.json
    124 Bytes
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  • modules.json
    341 Bytes
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  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    471 MB
    xet
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  • sentence_bert_config.json
    52 Bytes
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  • special_tokens_map.json
    280 Bytes
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  • tokenizer.json
    17.1 MB
    xet
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  • tokenizer_config.json
    491 Bytes
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