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blackmlengineer
/
occucoder-en-small-v0

Sentence Similarity
sentence-transformers
Safetensors
bert
feature-extraction
Generated from Trainer
dataset_size:991580
loss:MultipleNegativesRankingLoss
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use blackmlengineer/occucoder-en-small-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use blackmlengineer/occucoder-en-small-v0 with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("blackmlengineer/occucoder-en-small-v0")
    
    sentences = [
        "Draw Off Worker",
        "Computer Systems Analysts",
        "Meat, Poultry, and Fish Cutters and Trimmers",
        "Food Preparation Workers"
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
occucoder-en-small-v0
5.98 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
blackmlengineer's picture
blackmlengineer
Add new model.
485f1a0 verified 4 months ago
  • 1_Pooling
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  • .gitattributes
    1.52 kB
    initial commit 4 months ago
  • README.md
    14.4 kB
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  • config.json
    667 Bytes
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  • config_sentence_transformers.json
    278 Bytes
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  • model.safetensors
    5.74 MB
    xet
    Add new model. 4 months ago
  • modules.json
    277 Bytes
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  • sentence_bert_config.json
    241 Bytes
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  • tokenizer.json
    226 kB
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  • tokenizer_config.json
    539 Bytes
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