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pj-mathematician
/
JobGTE-multilingual-base-v2

Sentence Similarity
sentence-transformers
Safetensors
feature-extraction
Generated from Trainer
dataset_size:124788
loss:GISTEmbedLoss
Eval Results (legacy)
Model card Files Files and versions
xet
Community
1

Instructions to use pj-mathematician/JobGTE-multilingual-base-v2 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-v2 with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("pj-mathematician/JobGTE-multilingual-base-v2")
    
    sentences = [
        "其他机械、设备和有形货物租赁服务代表",
        "其他机械和设备租赁服务工作人员",
        "电子和电信设备及零部件物流经理",
        "工业主厨"
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
JobGTE-multilingual-base-v2
7.36 GB
Ctrl+K
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  • 1 contributor
History: 2 commits
pj-mathematician's picture
pj-mathematician
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8fd808f verified 11 months ago
  • checkpoint-200
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  • checkpoint-400
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  • eval
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  • .gitattributes
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  • README.md
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