Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

lambdaofgod
/
document-readme_dependencies-nbow-nbow-mnrl

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

Instructions to use lambdaofgod/document-readme_dependencies-nbow-nbow-mnrl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use lambdaofgod/document-readme_dependencies-nbow-nbow-mnrl with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("lambdaofgod/document-readme_dependencies-nbow-nbow-mnrl")
    
    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
document-readme_dependencies-nbow-nbow-mnrl / 1_WordWeights
2.77 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
lambdaofgod's picture
lambdaofgod
Add new SentenceTransformer model.
7fca8c3 over 3 years ago
  • config.json
    2.77 MB
    Add new SentenceTransformer model. over 3 years ago