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

foochun
/
bge-large-finetuned

Sentence Similarity
sentence-transformers
Safetensors
bert
feature-extraction
Generated from Trainer
dataset_size:72897
loss:MultipleNegativesRankingLoss
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use foochun/bge-large-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use foochun/bge-large-finetuned with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("foochun/bge-large-finetuned")
    
    sentences = [
        "penny sim chee jun",
        "jun sim chee penny",
        "chee sim jun penny",
        "azmi bin raja sharif"
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
bge-large-finetuned / 2_Dense
1.05 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
foochun's picture
foochun
256 Dimension updated
e1a1485 verified 11 months ago
  • config.json
    115 Bytes
    256 Dimension updated about 1 year ago
  • model.safetensors
    1.05 MB
    xet
    256 Dimension updated 11 months ago