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LocalWisdom
/
PurpleStatic

Sentence Similarity
sentence-transformers
Safetensors
English
feature-extraction
Generated from Trainer
dataset_size:4373977
loss:MatryoshkaLoss
loss:MultipleNegativesRankingLoss
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use LocalWisdom/PurpleStatic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use LocalWisdom/PurpleStatic with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("LocalWisdom/PurpleStatic")
    
    sentences = [
        "crack",
        "master",
        "Academic journals often publish both print editions and digital versions simultaneously.",
        "ceramic ware"
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
PurpleStatic
418 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
hanzceo's picture
hanzceo
Update README.md
203f742 verified about 6 hours ago
  • .gitattributes
    1.52 kB
    initial commit about 17 hours ago
  • README.md
    29.5 kB
    Update README.md about 6 hours ago
  • config_sentence_transformers.json
    284 Bytes
    Add new SentenceTransformer model about 17 hours ago
  • model.safetensors
    411 MB
    xet
    Add new SentenceTransformer model about 17 hours ago
  • modules.json
    156 Bytes
    Add new SentenceTransformer model about 17 hours ago
  • tokenizer.json
    7.29 MB
    Add new SentenceTransformer model about 17 hours ago
  • train.ipynb
    12.5 kB
    Upload train.ipynb about 17 hours ago