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olaverse
/
naija-embed-base

Sentence Similarity
sentence-transformers
Safetensors
Hausa
Yoruba
Igbo
modernbert
feature-extraction
nigerian
hausa
yoruba
igbo
cross-lingual
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use olaverse/naija-embed-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use olaverse/naija-embed-base with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("olaverse/naija-embed-base")
    
    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]
  • Notebooks
  • Google Colab
  • Kaggle
naija-embed-base
126 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
olumideola's picture
olumideola
Update README.md
f2aabf4 verified 3 days ago
  • 1_Pooling
    Upload folder using huggingface_hub 8 days ago
  • .gitattributes
    1.52 kB
    initial commit 8 days ago
  • README.md
    2.3 kB
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  • config.json
    1.1 kB
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  • model.safetensors
    123 MB
    xet
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  • modules.json
    209 Bytes
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  • sentence_bert_config.json
    47 Bytes
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  • special_tokens_map.json
    971 Bytes
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  • tokenizer.json
    3.58 MB
    Upload tokenizer 8 days ago
  • tokenizer_config.json
    227 Bytes
    Upload tokenizer_config.json with huggingface_hub 8 days ago