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shreyask
/
sift-finetuned

Sentence Similarity
sentence-transformers
ONNX
English
gemma3_text
embeddings
embeddinggemma-tuning-lab
sift
chrome-extension
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use shreyask/sift-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use shreyask/sift-finetuned with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("shreyask/sift-finetuned")
    
    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
sift-finetuned / onnx
2.42 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
shreyask's picture
shreyask
Rename onnx/model_q4.onnx to onnx/model_no_gather_q4.onnx
0e956e2 verified 3 months ago
  • model.onnx
    1.23 GB
    xet
    Upload folder using huggingface_hub 3 months ago
  • model_no_gather_q4.onnx
    873 MB
    xet
    Rename onnx/model_q4.onnx to onnx/model_no_gather_q4.onnx 3 months ago
  • model_quantized.onnx
    310 MB
    xet
    Upload folder using huggingface_hub 3 months ago