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Koat
/
gte-tiny

Sentence Similarity
sentence-transformers
PyTorch
ONNX
Safetensors
Transformers
bert
feature-extraction
mteb
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use Koat/gte-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use Koat/gte-tiny with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("Koat/gte-tiny")
    
    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]
  • Transformers

    How to use Koat/gte-tiny with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("Koat/gte-tiny")
    model = AutoModel.from_pretrained("Koat/gte-tiny")
  • Notebooks
  • Google Colab
  • Kaggle
gte-tiny / onnx
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
Koat's picture
Koat
Upload 17 files
b32e2a6 verified about 2 years ago
  • model.onnx
    90.4 MB
    xet
    Upload 17 files about 2 years ago
  • model_optimized.onnx
    90.3 MB
    xet
    Upload 17 files about 2 years ago
  • model_quantized.onnx
    22.9 MB
    xet
    Upload 17 files about 2 years ago