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sultanbi
/
e5-base-kazakh

Feature Extraction
sentence-transformers
Safetensors
Transformers
xlm-roberta
kazakh
sentence-similarity
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use sultanbi/e5-base-kazakh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use sultanbi/e5-base-kazakh with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("sultanbi/e5-base-kazakh")
    
    sentences = [
        "The weather is lovely today.",
        "It's so sunny outside!",
        "He drove to the stadium."
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [3, 3]
  • Transformers

    How to use sultanbi/e5-base-kazakh with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="sultanbi/e5-base-kazakh")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("sultanbi/e5-base-kazakh")
    model = AutoModel.from_pretrained("sultanbi/e5-base-kazakh")
  • Notebooks
  • Google Colab
  • Kaggle
e5-base-kazakh
1.13 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 9 commits
sultanbi's picture
sultanbi
Update README.md
e7b9962 verified 7 months ago
  • 1_Pooling
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  • .gitattributes
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  • README.md
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  • config.json
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  • config_sentence_transformers.json
    205 Bytes
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  • model.safetensors
    1.11 GB
    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
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  • special_tokens_map.json
    964 Bytes
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  • tokenizer.json
    17.1 MB
    xet
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  • tokenizer_config.json
    1.18 kB
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