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MWirelabs
/
ne-embed

sentence-transformers
Safetensors
bert
embeddings
retrieval
northeast-india
low-resource
multilingual
RAG
Model card Files Files and versions
xet
Community

Instructions to use MWirelabs/ne-embed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use MWirelabs/ne-embed with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("MWirelabs/ne-embed")
    
    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
ne-embed / 2_Dense
2.36 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
Khrawsynth's picture
Khrawsynth
Add new SentenceTransformer model
8246b15 verified 5 days ago
  • config.json
    227 Bytes
    Add new SentenceTransformer model 5 days ago
  • model.safetensors
    2.36 MB
    xet
    Add new SentenceTransformer model 5 days ago