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UMCU
/
BioLORD-2023-M-Dutch-InContext-v1-ST_bf16_static

Model2Vec
Safetensors
sentence-transformers
embeddings
static-embeddings
Model card Files Files and versions
xet
Community

Instructions to use UMCU/BioLORD-2023-M-Dutch-InContext-v1-ST_bf16_static with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Model2Vec

    How to use UMCU/BioLORD-2023-M-Dutch-InContext-v1-ST_bf16_static with Model2Vec:

    from model2vec import StaticModel
    
    model = StaticModel.from_pretrained("UMCU/BioLORD-2023-M-Dutch-InContext-v1-ST_bf16_static")
  • sentence-transformers

    How to use UMCU/BioLORD-2023-M-Dutch-InContext-v1-ST_bf16_static with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("UMCU/BioLORD-2023-M-Dutch-InContext-v1-ST_bf16_static")
    
    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
BioLORD-2023-M-Dutch-InContext-v1-ST_bf16_static
317 MB
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  • 1 contributor
History: 2 commits
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  • model.safetensors
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  • tokenizer.json
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