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

QuantaSparkLabs
/
ApexRetriever

Sentence Similarity
sentence-transformers
Safetensors
English
apex_retriever
rag
retrieval
semantic-search
faiss
bm25
cross-encoder
hybrid-search
dense-retrieval
ai
search
Model card Files Files and versions
xet
Community

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

  • Libraries
  • sentence-transformers

    How to use QuantaSparkLabs/ApexRetriever with sentence-transformers:

    from sentence_transformers import CrossEncoder
    
    model = CrossEncoder("QuantaSparkLabs/ApexRetriever")
    
    query = "Which planet is known as the Red Planet?"
    passages = [
    	"Venus is often called Earth's twin because of its similar size and proximity.",
    	"Mars, known for its reddish appearance, is often referred to as the Red Planet.",
    	"Jupiter, the largest planet in our solar system, has a prominent red spot.",
    	"Saturn, famous for its rings, is sometimes mistaken for the Red Planet."
    ]
    
    scores = model.predict([(query, passage) for passage in passages])
    print(scores)
  • Notebooks
  • Google Colab
  • Kaggle
ApexRetriever / reranker
1.13 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
QuantaSparkLabs's picture
QuantaSparkLabs
Upload folder using huggingface_hub
2d9ebee verified 4 days ago
  • README.md
    4.44 kB
    Upload folder using huggingface_hub 4 days ago
  • config.json
    839 Bytes
    Upload folder using huggingface_hub 4 days ago
  • config_sentence_transformers.json
    260 Bytes
    Upload folder using huggingface_hub 4 days ago
  • model.safetensors
    1.11 GB
    xet
    Upload folder using huggingface_hub 4 days ago
  • modules.json
    131 Bytes
    Upload folder using huggingface_hub 4 days ago
  • sentence_bert_config.json
    225 Bytes
    Upload folder using huggingface_hub 4 days ago
  • tokenizer.json
    16.8 MB
    xet
    Upload folder using huggingface_hub 4 days ago
  • tokenizer_config.json
    379 Bytes
    Upload folder using huggingface_hub 4 days ago