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

  • Log In
  • Sign Up

hmzprover
/
hpsearch-embed-fast

Sentence Similarity
sentence-transformers
Safetensors
qwen3
lean4
mathlib
retrieval
premise-selection
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use hmzprover/hpsearch-embed-fast with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use hmzprover/hpsearch-embed-fast with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("hmzprover/hpsearch-embed-fast")
    
    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
hpsearch-embed-fast / 2_Dense
10.5 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
AndyZijianZhang's picture
AndyZijianZhang
hpsearch model
0438390 verified 2 days ago
  • config.json
    135 Bytes
    hpsearch model 2 days ago
  • model.safetensors
    10.5 MB
    xet
    hpsearch model 2 days ago