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
      • Hardware
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

eoinedge
/
zephyrproject-docs-embeddings

Sentence Similarity
sentence-transformers
Safetensors
English
bert
zephyr
feature-extraction
retrieval
rag
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use eoinedge/zephyrproject-docs-embeddings with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use eoinedge/zephyrproject-docs-embeddings with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("eoinedge/zephyrproject-docs-embeddings")
    
    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
zephyrproject-docs-embeddings
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
eoinedge's picture
eoinedge
Domain-tuned embeddings with held-out recall@5
c07ca17 verified 6 days ago
  • 1_Pooling
    Domain-tuned embeddings with held-out recall@5 6 days ago
  • .gitattributes
    1.52 kB
    initial commit 6 days ago
  • README.md
    2.9 kB
    Domain-tuned embeddings with held-out recall@5 6 days ago
  • config.json
    776 Bytes
    Domain-tuned embeddings with held-out recall@5 6 days ago
  • config_sentence_transformers.json
    294 Bytes
    Domain-tuned embeddings with held-out recall@5 6 days ago
  • eval.json
    208 Bytes
    Domain-tuned embeddings with held-out recall@5 6 days ago
  • model.safetensors
    90.9 MB
    xet
    Domain-tuned embeddings with held-out recall@5 6 days ago
  • modules.json
    448 Bytes
    Domain-tuned embeddings with held-out recall@5 6 days ago
  • sentence_bert_config.json
    250 Bytes
    Domain-tuned embeddings with held-out recall@5 6 days ago
  • tokenizer.json
    712 kB
    Domain-tuned embeddings with held-out recall@5 6 days ago
  • tokenizer_config.json
    618 Bytes
    Domain-tuned embeddings with held-out recall@5 6 days ago