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abd1987
/
esco-context-skill-extraction

Sentence Similarity
sentence-transformers
Safetensors
mpnet
feature-extraction
Generated from Trainer
dataset_size:713657
loss:MultipleNegativesRankingLoss
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use abd1987/esco-context-skill-extraction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use abd1987/esco-context-skill-extraction with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("abd1987/esco-context-skill-extraction")
    
    sentences = [
        "Successfully gather data from diverse sources, ensuring data integrity and accuracy.",
        "gather data",
        "set up basic recording",
        "use global distribution system"
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
esco-context-skill-extraction
439 MB
Ctrl+K
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  • 1 contributor
History: 2 commits
abd1987's picture
abd1987
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2e6654a verified about 1 year ago
  • 1_Pooling
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  • .gitattributes
    1.52 kB
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  • README.md
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  • config.json
    636 Bytes
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  • config_sentence_transformers.json
    214 Bytes
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  • model.safetensors
    438 MB
    xet
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  • modules.json
    242 Bytes
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  • sentence_bert_config.json
    56 Bytes
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  • special_tokens_map.json
    1.02 kB
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  • tokenizer.json
    711 kB
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  • tokenizer_config.json
    1.71 kB
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  • vocab.txt
    232 kB
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