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GreenNode
/
GreenNode-Embedding-Large-VN-Mixed-V1

Sentence Similarity
sentence-transformers
Safetensors
Vietnamese
English
xlm-roberta
feature-extraction
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use GreenNode/GreenNode-Embedding-Large-VN-Mixed-V1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use GreenNode/GreenNode-Embedding-Large-VN-Mixed-V1 with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("GreenNode/GreenNode-Embedding-Large-VN-Mixed-V1")
    
    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]
  • Notebooks
  • Google Colab
  • Kaggle
GreenNode-Embedding-Large-VN-Mixed-V1
2.29 GB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 7 commits
tungluuai's picture
tungluuai
Update README.md
1d3dddb verified about 1 year ago
  • 1_Pooling
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  • .gitattributes
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  • LICENSE
    1.07 kB
    Release GreenNode-Embedding-Large-VN-Mixed-V1 about 1 year ago
  • README.md
    9.55 kB
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  • config.json
    734 Bytes
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  • config_sentence_transformers.json
    195 Bytes
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  • model.safetensors
    2.27 GB
    xet
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  • modules.json
    349 Bytes
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  • sentence_bert_config.json
    54 Bytes
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  • sentencepiece.bpe.model
    5.07 MB
    xet
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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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