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alibayram
/
tabi-random

Sentence Similarity
sentence-transformers
Safetensors
gemma3_text
feature-extraction
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use alibayram/tabi-random with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use alibayram/tabi-random with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("alibayram/tabi-random")
    
    sentences = [
        "That is a happy person",
        "That is a happy dog",
        "That is a very happy person",
        "Today is a sunny day"
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
tabi-random
265 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 34 commits
alibayram's picture
alibayram
Add new SentenceTransformer model
dc14123 verified 4 months ago
  • 1_Pooling
    Add new SentenceTransformer model 4 months ago
  • 2_Dense
    Add new SentenceTransformer model 4 months ago
  • 3_Dense
    Add new SentenceTransformer model 4 months ago
  • .gitattributes
    1.52 kB
    initial commit 4 months ago
  • README.md
    18.7 kB
    Add new SentenceTransformer model 4 months ago
  • config.json
    1.64 kB
    Add new SentenceTransformer model 4 months ago
  • config_sentence_transformers.json
    992 Bytes
    Add new SentenceTransformer model 4 months ago
  • model.safetensors
    253 MB
    xet
    Add new SentenceTransformer model 4 months ago
  • modules.json
    573 Bytes
    Add new SentenceTransformer model 4 months ago
  • sentence_bert_config.json
    58 Bytes
    Add new SentenceTransformer model 4 months ago
  • tokenizer.json
    2.53 MB
    Add new SentenceTransformer model 4 months ago
  • tokenizer_config.json
    429 Bytes
    Add new SentenceTransformer model 4 months ago