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mrm8488
/
m-e5-large_bs64_10_all_languages

Sentence Similarity
sentence-transformers
PyTorch
xlm-roberta
feature-extraction
text-embeddings-inference
Model card Files Files and versions
xet
Community
2

Instructions to use mrm8488/m-e5-large_bs64_10_all_languages with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use mrm8488/m-e5-large_bs64_10_all_languages with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("mrm8488/m-e5-large_bs64_10_all_languages")
    
    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]
  • Notebooks
  • Google Colab
  • Kaggle
m-e5-large_bs64_10_all_languages / eval
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  • 1 contributor
History: 1 commit
mrm8488's picture
mrm8488
Upload folder using huggingface_hub
dd7f056 over 2 years ago
  • similarity_evaluation_sts-dev_results.csv
    3.28 kB
    Upload folder using huggingface_hub over 2 years ago