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naver
/
efficient-splade-V-large-doc

Feature Extraction
sentence-transformers
PyTorch
Safetensors
English
distilbert
splade
query-expansion
document-expansion
bag-of-words
passage-retrieval
knowledge-distillation
document encoder
sparse-encoder
sparse
asymmetric
text-embeddings-inference
Model card Files Files and versions
xet
Community
3

Instructions to use naver/efficient-splade-V-large-doc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use naver/efficient-splade-V-large-doc with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("naver/efficient-splade-V-large-doc")
    
    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
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

How do I use the pretrained model of SPLADE on my docs

#2 opened over 2 years ago by
MLconArtist

Adding `safetensors` variant of this model

#1 opened about 3 years ago by
SFconvertbot
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