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mudasir13cs
/
Field-adaptive-bi-encoder

Sentence Similarity
sentence-transformers
Safetensors
English
bert
embeddings
semantic-search
presentation-templates
information-retrieval
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use mudasir13cs/Field-adaptive-bi-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use mudasir13cs/Field-adaptive-bi-encoder with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("mudasir13cs/Field-adaptive-bi-encoder")
    
    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
Field-adaptive-bi-encoder / eval
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
mudasir13cs's picture
mudasir13cs
Initial upload of Field-adaptive-bi-encoder
f77c81f verified 9 months ago
  • Information-Retrieval_evaluation_validation_results.csv
    15.2 kB
    Initial upload of Field-adaptive-bi-encoder 9 months ago