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EMBO
/
negative_sampling_pmb

Feature Extraction
sentence-transformers
Safetensors
bert
sentence-similarity
biomedical
embeddings
life-sciences
scientific-text
SODA-VEC
EMBO
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use EMBO/negative_sampling_pmb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use EMBO/negative_sampling_pmb with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("EMBO/negative_sampling_pmb")
    
    sentences = [
        "The weather is lovely today.",
        "It's so sunny outside!",
        "He drove to the stadium."
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [3, 3]
  • Notebooks
  • Google Colab
  • Kaggle
negative_sampling_pmb
439 MB
Ctrl+K
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  • 1 contributor
History: 6 commits
drAbreu's picture
drAbreu
Update README.md
a3d002a verified 6 months ago
  • 1_Pooling
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  • .gitattributes
    1.52 kB
    initial commit 6 months ago
  • README.md
    5.53 kB
    Update README.md 6 months ago
  • config.json
    667 Bytes
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  • config_sentence_transformers.json
    283 Bytes
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  • model.safetensors
    438 MB
    xet
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  • modules.json
    229 Bytes
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  • sentence_bert_config.json
    57 Bytes
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  • special_tokens_map.json
    125 Bytes
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  • tokenizer.json
    706 kB
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  • tokenizer_config.json
    1.29 kB
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  • vocab.txt
    226 kB
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