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codersan
/
validadted_e5smallStudent

Sentence Similarity
sentence-transformers
Safetensors
bert
feature-extraction
Generated from Trainer
dataset_size:172826
loss:CosineSimilarityLoss
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use codersan/validadted_e5smallStudent with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use codersan/validadted_e5smallStudent with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("codersan/validadted_e5smallStudent")
    
    sentences = [
        "How do you make Yahoo your homepage?",
        "چگونه ویکی پدیا بدون تبلیغ در وب سایت خود درآمد کسب می کند؟",
        "چگونه می توانم برای امتحان INS 21 آماده شوم؟",
        "How can I make Yahoo my homepage on my browser?"
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
validadted_e5smallStudent
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  • 1 contributor
History: 2 commits
codersan's picture
codersan
Add new SentenceTransformer model
5854e6c verified 9 months ago
  • 1_Pooling
    Add new SentenceTransformer model 9 months ago
  • .gitattributes
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  • README.md
    18.1 kB
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  • config.json
    681 Bytes
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  • config_sentence_transformers.json
    205 Bytes
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  • model.safetensors
    471 MB
    xet
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  • modules.json
    349 Bytes
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  • sentence_bert_config.json
    53 Bytes
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  • sentencepiece.bpe.model
    5.07 MB
    xet
    Add new SentenceTransformer model 9 months ago
  • special_tokens_map.json
    965 Bytes
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  • tokenizer.json
    17.1 MB
    xet
    Add new SentenceTransformer model 9 months ago
  • tokenizer_config.json
    1.2 kB
    Add new SentenceTransformer model 9 months ago