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pj-mathematician
/
JobGTE-multilingual-base-pruned

Sentence Similarity
sentence-transformers
Safetensors
feature-extraction
Generated from Trainer
dataset_size:86648
loss:MSELoss
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use pj-mathematician/JobGTE-multilingual-base-pruned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use pj-mathematician/JobGTE-multilingual-base-pruned with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("pj-mathematician/JobGTE-multilingual-base-pruned")
    
    sentences = [
        "Familienberaterin",
        "electric power station operator",
        "venue booker & promoter",
        "betrieblicher Aus- und Weiterbildner/betriebliche Aus- und Weiterbildnerin"
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
JobGTE-multilingual-base-pruned / eval
Ctrl+K
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  • 1 contributor
History: 2 commits
pj-mathematician's picture
pj-mathematician
Add files using upload-large-folder tool
7726889 verified about 1 year ago
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  • Information-Retrieval_evaluation_mix_zh_results.csv
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