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culudamar
/
turkish-campaign-model

Feature Extraction
sentence-transformers
Safetensors
Turkish
bert
turkish
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use culudamar/turkish-campaign-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use culudamar/turkish-campaign-model with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("culudamar/turkish-campaign-model")
    
    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]
  • Notebooks
  • Google Colab
  • Kaggle
turkish-campaign-model
Ctrl+K
Ctrl+K
  • 1 contributor
History: 13 commits
culudamar's picture
culudamar
Add new SentenceTransformer model
6889e73 verified about 1 month ago
  • 1_Pooling
    Add new SentenceTransformer model about 2 months ago
  • .gitattributes
    1.57 kB
    Add new SentenceTransformer model about 2 months ago
  • README.md
    10 kB
    Just added a space to yaml of README about 2 months ago
  • config.json
    741 Bytes
    Add new SentenceTransformer model about 2 months ago
  • config_sentence_transformers.json
    281 Bytes
    Add new SentenceTransformer model about 2 months ago
  • model.safetensors
    235 MB
    xet
    Add new SentenceTransformer model about 1 month ago
  • modules.json
    277 Bytes
    Add new SentenceTransformer model about 2 months ago
  • sentence_bert_config.json
    241 Bytes
    Add new SentenceTransformer model about 2 months ago
  • tokenizer.json
    17.1 MB
    xet
    Add new SentenceTransformer model about 2 months ago
  • tokenizer_config.json
    558 Bytes
    Add new SentenceTransformer model about 2 months ago