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math-similarity
/
Bert-MLM_arXiv-MP-class_zbMath

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

Instructions to use math-similarity/Bert-MLM_arXiv-MP-class_zbMath with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use math-similarity/Bert-MLM_arXiv-MP-class_zbMath with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("math-similarity/Bert-MLM_arXiv-MP-class_zbMath")
    
    sentences = [
        "That is a happy person",
        "That is a happy dog",
        "That is a very happy person",
        "Today is a sunny day"
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Transformers

    How to use math-similarity/Bert-MLM_arXiv-MP-class_zbMath with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("math-similarity/Bert-MLM_arXiv-MP-class_zbMath")
    model = AutoModel.from_pretrained("math-similarity/Bert-MLM_arXiv-MP-class_zbMath")
  • Notebooks
  • Google Colab
  • Kaggle
Bert-MLM_arXiv-MP-class_zbMath / eval
2.01 kB
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  • 1 contributor
History: 1 commit
math-similarity's picture
math-similarity
First model version
d2a9d46 almost 2 years ago
  • .ipynb_checkpoints
    First model version almost 2 years ago
  • similarity_evaluation_results.csv
    1.71 kB
    First model version almost 2 years ago