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AITeamVN
/
Vietnamese_Embedding

Sentence Similarity
sentence-transformers
ONNX
Safetensors
Vietnamese
xlm-roberta
Embedding
text-embeddings-inference
Model card Files Files and versions
xet
Community
3

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

  • Libraries
  • sentence-transformers

    How to use AITeamVN/Vietnamese_Embedding with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("AITeamVN/Vietnamese_Embedding")
    
    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
Vietnamese_Embedding
4.58 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 40 commits
AITeamVN's picture
AITeamVN
Update README.md
dea33aa verified 9 months ago
  • 1_Pooling
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  • onnx
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  • .gitattributes
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  • README.md
    3.55 kB
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  • config.json
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  • config_sentence_transformers.json
    171 Bytes
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  • evaluation_model.py
    7.34 kB
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  • model.safetensors
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  • modules.json
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  • sentence_bert_config.json
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  • sentencepiece.bpe.model
    5.07 MB
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  • special_tokens_map.json
    964 Bytes
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  • tokenizer.json
    17.1 MB
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  • tokenizer_config.json
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