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lydianish
/
RoLASER-v2

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

Instructions to use lydianish/RoLASER-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use lydianish/RoLASER-v2 with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("lydianish/RoLASER-v2")
    
    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
RoLASER-v2 / 2_Dense
3.15 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
lydianish's picture
lydianish
Add new SentenceTransformer model
8e59efc verified over 1 year ago
  • config.json
    115 Bytes
    Add new SentenceTransformer model over 1 year ago
  • model.safetensors
    3.15 MB
    xet
    Add new SentenceTransformer model over 1 year ago