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KameronB
/
IT-embeddinggemma

Sentence Similarity
sentence-transformers
Safetensors
gemma3_text
feature-extraction
dense
Generated from Trainer
dataset_size:1979
loss:MultipleNegativesRankingLoss
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use KameronB/IT-embeddinggemma with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use KameronB/IT-embeddinggemma with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("KameronB/IT-embeddinggemma")
    
    sentences = [
        "The iPhone Bluetooth connection drops unexpectedly during use.",
        "The customer is asking how to update apps on their iPhone automatically.",
        "The device loses power quickly despite showing a 100% battery level earlier.",
        "Bluetooth devices disconnect frequently when paired with the iPhone."
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
IT-embeddinggemma / 3_Dense
9.44 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
KameronB's picture
KameronB
Upload 16 files
e40b082 verified 7 months ago
  • config.json
    134 Bytes
    Upload 16 files 7 months ago
  • model.safetensors
    9.44 MB
    xet
    Upload 16 files 7 months ago