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seerware
/
Splade_PP_en_v2

Feature Extraction
sentence-transformers
PyTorch
ONNX
English
bert
splade++
document-expansion
sparse representation
bag-of-words
passage-retrieval
knowledge-distillation
document encoder
sparse-encoder
sparse
splade
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use seerware/Splade_PP_en_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use seerware/Splade_PP_en_v2 with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("seerware/Splade_PP_en_v2")
    
    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
Splade_PP_en_v2 / onnx
Ctrl+K
Ctrl+K
  • 3 contributors
History: 4 commits
chrsbats
Added fp16 quant
2514f4d 8 months ago
  • fp16
    Added fp16 quant 8 months ago
  • fp32
    Add sentence_transformers compatible ONNX models in fp32 and int8 format 8 months ago
  • int8
    Add sentence_transformers compatible ONNX models in fp32 and int8 format 8 months ago