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

sdadas
/
mmlw-retrieval-e5-large

Sentence Similarity
sentence-transformers
PyTorch
Safetensors
Transformers
Polish
xlm-roberta
feature-extraction
information-retrieval
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use sdadas/mmlw-retrieval-e5-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use sdadas/mmlw-retrieval-e5-large with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("sdadas/mmlw-retrieval-e5-large")
    
    sentences = [
        "query: Jak dożyć 100 lat?",
        "passage: Trzeba zdrowo się odżywiać i uprawiać sport.",
        "passage: Trzeba pić alkohol, imprezować i jeździć szybkimi autami.",
        "passage: Gdy trwała kampania politycy zapewniali, że rozprawią się z zakazem niedzielnego handlu."
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Transformers

    How to use sdadas/mmlw-retrieval-e5-large with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("sdadas/mmlw-retrieval-e5-large")
    model = AutoModel.from_pretrained("sdadas/mmlw-retrieval-e5-large")
  • Notebooks
  • Google Colab
  • Kaggle
mmlw-retrieval-e5-large / 1_Pooling
Ctrl+K
Ctrl+K
  • 2 contributors
History: 1 commit
sdadas's picture
sdadas
Upload 12 files
d097f65 over 2 years ago
  • config.json
    191 Bytes
    Upload 12 files over 2 years ago