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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
2.29 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
Hygroskopisch's picture
Hygroskopisch
Update training query links and add multilingual language tag
fc65fec verified 5 months ago
  • 1_Pooling
    Super squash history after split_eval_matrix removal 5 months ago
  • eval
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  • .gitattributes
    1.57 kB
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  • README.md
    9.43 kB
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  • config.json
    734 Bytes
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  • config_sentence_transformers.json
    171 Bytes
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  • model.safetensors
    2.27 GB
    xet
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  • modules.json
    349 Bytes
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  • run_metadata.json
    1.84 kB
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  • sentence_bert_config.json
    53 Bytes
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  • special_tokens_map.json
    964 Bytes
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  • tokenizer.json
    17.1 MB
    xet
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  • tokenizer_config.json
    1.17 kB
    Super squash history after split_eval_matrix removal 5 months ago