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NeuML
/
pubmedbert-base-splade

Sentence Similarity
sentence-transformers
Safetensors
English
bert
sparse-encoder
sparse
splade
Generated from Trainer
loss:SpladeLoss
loss:SparseMultipleNegativesRankingLoss
loss:FlopsLoss
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community
2

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

  • Libraries
  • sentence-transformers

    How to use NeuML/pubmedbert-base-splade with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("NeuML/pubmedbert-base-splade")
    
    sentences = [
        "That is a happy person",
        "That is a happy dog",
        "That is a very happy person",
        "Today is a sunny day"
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
pubmedbert-base-splade / 1_SpladePooling
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
davidmezzetti's picture
davidmezzetti
Upload model
41b0ae4 10 months ago
  • config.json
    107 Bytes
    Upload model 10 months ago