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kamalkraj
/
BioSimCSE-BioLinkBERT-BASE

Sentence Similarity
sentence-transformers
PyTorch
Transformers
bert
feature-extraction
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use kamalkraj/BioSimCSE-BioLinkBERT-BASE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use kamalkraj/BioSimCSE-BioLinkBERT-BASE with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("kamalkraj/BioSimCSE-BioLinkBERT-BASE")
    
    sentences = [
        "The up-regulation of miR-146a was also detected in cervical cancer tissues.",
        "The expression of miR-146a has been found to be up-regulated in cervical cancer.",
        "Only concomitant ablation of ERK1 and ERK2 impairs tumor growth."
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [3, 3]
  • Transformers

    How to use kamalkraj/BioSimCSE-BioLinkBERT-BASE with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("kamalkraj/BioSimCSE-BioLinkBERT-BASE")
    model = AutoModel.from_pretrained("kamalkraj/BioSimCSE-BioLinkBERT-BASE")
  • Notebooks
  • Google Colab
  • Kaggle
BioSimCSE-BioLinkBERT-BASE
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  • 1 contributor
History: 5 commits
kamalkraj's picture
kamalkraj
Update README.md
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    model over 3 years ago
  • .gitattributes
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  • config.json
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  • config_sentence_transformers.json
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  • modules.json
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  • pytorch_model.bin
    433 MB
    xet
    model over 3 years ago
  • sentence_bert_config.json
    53 Bytes
    model over 3 years ago
  • special_tokens_map.json
    125 Bytes
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  • tokenizer.json
    679 kB
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  • tokenizer_config.json
    376 Bytes
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  • vocab.txt
    225 kB
    model over 3 years ago