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seniichev
/
me5-wb

Sentence Similarity
sentence-transformers
Safetensors
English
Russian
xlm-roberta
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use seniichev/me5-wb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use seniichev/me5-wb with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("seniichev/me5-wb")
    
    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
me5-wb
1.13 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
seniichev's picture
seniichev
Update README.md
43956f1 verified about 2 years ago
  • 1_Pooling
    initial upload about 2 years ago
  • .gitattributes
    1.57 kB
    initial upload about 2 years ago
  • README.md
    1.51 kB
    Update README.md about 2 years ago
  • config.json
    714 Bytes
    initial upload about 2 years ago
  • config_sentence_transformers.json
    165 Bytes
    initial upload about 2 years ago
  • model.safetensors
    1.11 GB
    xet
    initial upload about 2 years ago
  • modules.json
    349 Bytes
    initial upload about 2 years ago
  • sentence_bert_config.json
    53 Bytes
    initial upload about 2 years ago
  • sentencepiece.bpe.model
    5.07 MB
    xet
    initial upload about 2 years ago
  • special_tokens_map.json
    964 Bytes
    initial upload about 2 years ago
  • tokenizer.json
    17.1 MB
    xet
    initial upload about 2 years ago
  • tokenizer_config.json
    1.15 kB
    initial upload about 2 years ago