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Hygros-LCA
/
bge-m3-ifc-kbob-finetuned

Sentence Similarity
sentence-transformers
Safetensors
German
English
multilingual
xlm-roberta
feature-extraction
retrieval
semantic-search
ifc
lca
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use Hygros-LCA/bge-m3-ifc-kbob-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use Hygros-LCA/bge-m3-ifc-kbob-finetuned with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("Hygros-LCA/bge-m3-ifc-kbob-finetuned")
    
    sentences = [
        "Das ist eine glückliche Person",
        "Das ist ein glücklicher Hund",
        "Das ist eine sehr glückliche Person",
        "Heute ist ein sonniger Tag"
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
bge-m3-ifc-kbob-finetuned / eval
1.11 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
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Hygros-LCA
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