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radlab
/
polish-bi-encoder-mean

Sentence Similarity
sentence-transformers
PyTorch
Safetensors
Transformers
Polish
roberta
feature-extraction
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use radlab/polish-bi-encoder-mean with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use radlab/polish-bi-encoder-mean with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("radlab/polish-bi-encoder-mean")
    
    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]
  • Transformers

    How to use radlab/polish-bi-encoder-mean with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("radlab/polish-bi-encoder-mean")
    model = AutoModel.from_pretrained("radlab/polish-bi-encoder-mean")
  • Notebooks
  • Google Colab
  • Kaggle
polish-bi-encoder-mean / eval
5.78 kB
Ctrl+K
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  • 3 contributors
History: 1 commit
pkedzia's picture
pkedzia
Upload 13 files
36cedcb over 2 years ago
  • similarity_evaluation_sts-dev_results.csv
    5.78 kB
    Upload 13 files over 2 years ago