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morgendigital
/
multilingual-e5-large-quantized

Feature Extraction
sentence-transformers
ONNX
xlm-roberta
mteb
Sentence Transformers
sentence-similarity
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use morgendigital/multilingual-e5-large-quantized with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use morgendigital/multilingual-e5-large-quantized with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("morgendigital/multilingual-e5-large-quantized")
    
    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
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Does not appear to have a file named pytorch_model.bin, tf_model.h5, model.ckpt or flax_model.msgpack

#1 opened over 2 years ago by
Rasheed72
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