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olegGerbylev
/
multilingual-e5-large-finetuned-orders

Sentence Similarity
sentence-transformers
Safetensors
Russian
English
multilingual
xlm-roberta
feature-extraction
mteb
e5
contrastive-learning
text-embeddings-inference
Model card Files Files and versions
xet
Community

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

  • Libraries
  • sentence-transformers

    How to use olegGerbylev/multilingual-e5-large-finetuned-orders with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("olegGerbylev/multilingual-e5-large-finetuned-orders")
    
    sentences = [
        "Это счастливый человек",
        "Это счастливая собака",
        "Это очень счастливый человек",
        "Сегодня солнечный день"
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
multilingual-e5-large-finetuned-orders / eval
Ctrl+K
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  • 1 contributor
History: 1 commit
olegGerbylev's picture
olegGerbylev
Upload fine-tuned multilingual-e5-large model
731584e verified 4 months ago
  • triplet_evaluation_val_results.csv
    116 Bytes
    Upload fine-tuned multilingual-e5-large model 4 months ago