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

and-effect
/
musterdatenkatalog_clf

Sentence Similarity
sentence-transformers
PyTorch
German
bert
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use and-effect/musterdatenkatalog_clf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use and-effect/musterdatenkatalog_clf with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("and-effect/musterdatenkatalog_clf")
    
    sentences = [
        "Bebauungspläne, vorhabenbezogene Bebauungspläne (Geltungsbereiche)",
        "Fachkräfte für Glücksspielsuchtprävention und -beratung",
        "Tagespflege Altenhilfe",
        "Bebauungsplan der Innenentwicklung gem. § 13a BauGB - Ortskern Rütenbrock"
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
musterdatenkatalog_clf / 1_Pooling
Ctrl+K
Ctrl+K
  • 3 contributors
History: 7 commits
Rahka's picture
Rahka
upload retrained model
9e1935f over 3 years ago
  • config.json
    190 Bytes
    upload retrained model over 3 years ago