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tomaarsen
/
inference-free-splade-distilbert-base-uncased-nq-3e-3

Feature Extraction
sentence-transformers
Safetensors
English
sparse-encoder
sparse
asymmetric
inference-free
splade
Generated from Trainer
dataset_size:99000
loss:SpladeLoss
loss:SparseMultipleNegativesRankingLoss
loss:FlopsLoss
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use tomaarsen/inference-free-splade-distilbert-base-uncased-nq-3e-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use tomaarsen/inference-free-splade-distilbert-base-uncased-nq-3e-3 with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("tomaarsen/inference-free-splade-distilbert-base-uncased-nq-3e-3")
    
    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
inference-free-splade-distilbert-base-uncased-nq-3e-3
270 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
tomaarsen's picture
tomaarsen HF Staff
Add new SparseEncoder model
3c6aac9 verified about 1 year ago
  • document_0_MLMTransformer
    Add new SparseEncoder model about 1 year ago
  • document_1_SpladePooling
    Add new SparseEncoder model about 1 year ago
  • query_0_IDF
    Add new SparseEncoder model about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    40.9 kB
    Add new SparseEncoder model about 1 year ago
  • config_sentence_transformers.json
    292 Bytes
    Add new SparseEncoder model about 1 year ago
  • modules.json
    115 Bytes
    Add new SparseEncoder model about 1 year ago
  • router_config.json
    635 Bytes
    Add new SparseEncoder model about 1 year ago