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pkshatech
/
GLuCoSE-base-ja

Sentence Similarity
sentence-transformers
PyTorch
Transformers
Japanese
luke
feature-extraction
Model card Files Files and versions
xet
Community
6

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

  • Libraries
  • sentence-transformers

    How to use pkshatech/GLuCoSE-base-ja with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("pkshatech/GLuCoSE-base-ja")
    
    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 pkshatech/GLuCoSE-base-ja with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("pkshatech/GLuCoSE-base-ja")
    model = AutoModel.from_pretrained("pkshatech/GLuCoSE-base-ja")
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Adding `safetensors` variant of this model

#6 opened 9 months ago by
SFconvertbot

Adding `safetensors` variant of this model

#4 opened 9 months ago by
SFconvertbot

Adding `safetensors` variant of this model

#2 opened over 1 year ago by
SFconvertbot

Adding `safetensors` variant of this model

#1 opened about 2 years ago by
SFconvertbot
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