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Inkdrop
/
gpl

Sentence Similarity
sentence-transformers
PyTorch
causal-lm
Model card Files Files and versions
xet
Community

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

  • Libraries
  • sentence-transformers

    How to use Inkdrop/gpl with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("Inkdrop/gpl")
    
    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]
  • Notebooks
  • Google Colab
  • Kaggle
gpl / generated
353 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
louis030195's picture
louis030195
first commit
04dbf12 almost 4 years ago
  • qgen-qrels
    first commit almost 4 years ago
  • corpus.jsonl
    637 kB
    xet
    first commit almost 4 years ago
  • gpl-training-data.tsv
    313 MB
    xet
    first commit almost 4 years ago
  • hard-negatives.jsonl
    38 MB
    xet
    first commit almost 4 years ago
  • qgen-queries.jsonl
    1.18 MB
    xet
    first commit almost 4 years ago