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Hygroskopisch
/
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 Hygroskopisch/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 Hygroskopisch/bge-m3-ifc-kbob-finetuned with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("Hygroskopisch/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
1.1 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
Hygroskopisch's picture
Hygroskopisch
Super squash history after split_eval_matrix removal
fdb174b 6 months ago
  • normal_queries
    Super squash history after split_eval_matrix removal 6 months ago
  • queries_missing+typos
    Super squash history after split_eval_matrix removal 6 months ago
  • queries_missing
    Super squash history after split_eval_matrix removal 6 months ago
  • queries_typos
    Super squash history after split_eval_matrix removal 6 months ago