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oneryalcin
/
fin-sparse-encoder-doc-v1

Feature Extraction
sentence-transformers
Safetensors
English
sparse-encoder
sparse
asymmetric
inference-free
splade
Generated from Trainer
dataset_size:18247
loss:SpladeLoss
loss:SparseMultipleNegativesRankingLoss
loss:FlopsLoss
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use oneryalcin/fin-sparse-encoder-doc-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use oneryalcin/fin-sparse-encoder-doc-v1 with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("oneryalcin/fin-sparse-encoder-doc-v1")
    
    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
fin-sparse-encoder-doc-v1 / query_0_SparseStaticEmbedding
834 kB
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  • 1 contributor
History: 1 commit
oneryalcin's picture
oneryalcin
Upload 2-epoch fine-tuned sparse encoder for financial documents
a107131 verified 3 months ago
  • config.json
    23 Bytes
    Upload 2-epoch fine-tuned sparse encoder for financial documents 3 months ago
  • model.safetensors
    122 kB
    xet
    Upload 2-epoch fine-tuned sparse encoder for financial documents 3 months ago
  • tokenizer.json
    712 kB
    Upload 2-epoch fine-tuned sparse encoder for financial documents 3 months ago
  • tokenizer_config.json
    558 Bytes
    Upload 2-epoch fine-tuned sparse encoder for financial documents 3 months ago