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

flowercomputers
/
bekko-static-v1-slim-100k

Sentence Similarity
sentence-transformers
Safetensors
static-embedding
feature-extraction
vocabulary-pruning
multilingual
Model card Files Files and versions
xet
Community

Instructions to use flowercomputers/bekko-static-v1-slim-100k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use flowercomputers/bekko-static-v1-slim-100k with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("flowercomputers/bekko-static-v1-slim-100k")
    
    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
bekko-static-v1-slim-100k
207 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 20 commits
cowtoolz's picture
cowtoolz
Card: remove code-link placeholder
0632f49 verified 4 days ago
  • .gitattributes
    1.68 kB
    Card: vocab × dims score matrix 4 days ago
  • README.md
    8.8 kB
    Card: remove code-link placeholder 4 days ago
  • config_sentence_transformers.json
    283 Bytes
    Add bekko-static-embedding-v1-bench25-100k (vocabulary-pruned bekko-static-embedding-v1) 5 days ago
  • model.safetensors
    205 MB
    xet
    Add bekko-static-embedding-v1-bench25-100k (vocabulary-pruned bekko-static-embedding-v1) 5 days ago
  • modules.json
    156 Bytes
    Add bekko-static-embedding-v1-bench25-100k (vocabulary-pruned bekko-static-embedding-v1) 5 days ago
  • mrl-dims.png
    142 kB
    xet
    Charts: Flare Condensed titles 4 days ago
  • quality-vs-vocab.png
    149 kB
    xet
    Charts: Flare Condensed titles 4 days ago
  • score-matrix.png
    208 kB
    xet
    Score matrix: plain 32k label 4 days ago
  • tokenizer.json
    1.8 MB
    Add bekko-static-embedding-v1-bench25-100k (vocabulary-pruned bekko-static-embedding-v1) 5 days ago