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MALIBA-AI
/
bambara-embeddings

Feature Extraction
fastText
Bambara
bambara
embeddings
word-vectors
african-nlp
low-resource
Model card Files Files and versions
xet
Community

Instructions to use MALIBA-AI/bambara-embeddings with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • fastText

    How to use MALIBA-AI/bambara-embeddings with fastText:

    from huggingface_hub import hf_hub_download
    import fasttext
    
    model = fasttext.load_model(hf_hub_download("MALIBA-AI/bambara-embeddings", "model.bin"))
  • Notebooks
  • Google Colab
  • Kaggle
bambara-embeddings
2.47 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
sudoping01's picture
sudoping01
Update README.md
8ab8ba5 verified 3 months ago
  • .gitattributes
    1.58 kB
    Upload bambara_embeddings.vec with huggingface_hub 11 months ago
  • README.md
    5.2 kB
    Update README.md 3 months ago
  • bam.bin

    Detected Pickle imports (6)

    • "numpy.dtype",
    • "numpy.ndarray",
    • "gensim.models.keyedvectors.FastTextKeyedVectors",
    • "gensim.models.keyedvectors.Vocab",
    • "numpy.core.multiarray._reconstruct",
    • "_codecs.encode"

    How to fix it?

    36.6 MB
    xet
    Upload bam.bin with huggingface_hub 11 months ago
  • bam.bin.vectors_ngrams.npy
    2.4 GB
    xet
    Add missing n-gram vectors file 11 months ago
  • bambara_embeddings.vec
    34.4 MB
    xet
    Upload bambara_embeddings.vec with huggingface_hub 11 months ago