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

OloriBern
/
bge-m3-musique-mixer-3ep

Text Ranking
sentence-transformers
Safetensors
xlm-roberta
cross-encoder
reranker
Generated from Trainer
dataset_size:6313
loss:BinaryCrossEntropyLoss
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use OloriBern/bge-m3-musique-mixer-3ep with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use OloriBern/bge-m3-musique-mixer-3ep with sentence-transformers:

    from sentence_transformers import CrossEncoder
    
    model = CrossEncoder("OloriBern/bge-m3-musique-mixer-3ep")
    
    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
bge-m3-musique-mixer-3ep / eval
340 Bytes
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
OloriBern's picture
OloriBern
Upload folder using huggingface_hub
45baf67 verified 5 months ago
  • CrossEncoderCorrelationEvaluator_explorer-validation_results.csv
    340 Bytes
    Upload folder using huggingface_hub 5 months ago