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thivy
/
norbert4-base-splade-retrieval

Feature Extraction
sentence-transformers
TensorBoard
Safetensors
sparse-encoder
sparse
splade
norwegian
scandinavian
information-retrieval
custom_code
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use thivy/norbert4-base-splade-retrieval with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use thivy/norbert4-base-splade-retrieval with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("thivy/norbert4-base-splade-retrieval", trust_remote_code=True)
    
    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
norbert4-base-splade-retrieval / eval
21.9 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 20 commits
thivy's picture
thivy
Training in progress, step 10000
e797e05 verified 4 months ago
  • Information-Retrieval_evaluation_NanoNFCorpus_results.csv
    11 kB
    Training in progress, step 10000 4 months ago
  • NanoBEIR_evaluation_mean_results.csv
    11 kB
    Training in progress, step 10000 4 months ago