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lambdaofgod
/
paperswithcode_word2vec

Sentence Similarity
sentence-transformers
feature-extraction
Model card Files Files and versions
xet
Community

Instructions to use lambdaofgod/paperswithcode_word2vec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use lambdaofgod/paperswithcode_word2vec with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("lambdaofgod/paperswithcode_word2vec")
    
    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
paperswithcode_word2vec
120 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
lambdaofgod's picture
lambdaofgod
Update README.md
4dc2811 over 3 years ago
  • 0_WordEmbeddings
    Add new SentenceTransformer model. over 3 years ago
  • 1_Pooling
    Add new SentenceTransformer model. over 3 years ago
  • .gitattributes
    1.55 kB
    Add new SentenceTransformer model. over 3 years ago
  • README.md
    1.19 kB
    Update README.md over 3 years ago
  • config_sentence_transformers.json
    124 Bytes
    Add new SentenceTransformer model. over 3 years ago
  • modules.json
    248 Bytes
    Add new SentenceTransformer model. over 3 years ago