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gemasphi
/
laprador-document-encoder

Sentence Similarity
sentence-transformers
PyTorch
Transformers
bert
feature-extraction
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use gemasphi/laprador-document-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use gemasphi/laprador-document-encoder with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("gemasphi/laprador-document-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]
  • Transformers

    How to use gemasphi/laprador-document-encoder with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("gemasphi/laprador-document-encoder")
    model = AutoModel.from_pretrained("gemasphi/laprador-document-encoder")
  • Notebooks
  • Google Colab
  • Kaggle
laprador-document-encoder
1.22 kB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 1 commit
gemasphi's picture
gemasphi
initial commit
cd75e9b about 4 years ago
  • .gitattributes
    1.22 kB
    initial commit about 4 years ago