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pkshatech
/
simcse-ja-bert-base-clcmlp

Sentence Similarity
sentence-transformers
PyTorch
Transformers
Japanese
bert
feature-extraction
Model card Files Files and versions
xet
Community
1

Instructions to use pkshatech/simcse-ja-bert-base-clcmlp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use pkshatech/simcse-ja-bert-base-clcmlp with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("pkshatech/simcse-ja-bert-base-clcmlp")
    
    sentences = [
        "This widget can't work correctly now.",
        "Sorry :(",
        "Try this model in your local environment!"
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [3, 3]
  • Transformers

    How to use pkshatech/simcse-ja-bert-base-clcmlp with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("pkshatech/simcse-ja-bert-base-clcmlp")
    model = AutoModel.from_pretrained("pkshatech/simcse-ja-bert-base-clcmlp")
  • Notebooks
  • Google Colab
  • Kaggle
simcse-ja-bert-base-clcmlp / 1_Pooling
190 Bytes
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
akiFQC's picture
akiFQC
init
18b35f1 over 3 years ago
  • config.json
    190 Bytes
    init over 3 years ago