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Hiveurban
/
fasttext-language-identification

Feature Extraction
Transformers
Safetensors
fasttext-language-identification
custom_code
Model card Files Files and versions
xet
Community

Instructions to use Hiveurban/fasttext-language-identification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Hiveurban/fasttext-language-identification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="Hiveurban/fasttext-language-identification", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Hiveurban/fasttext-language-identification", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
fasttext-language-identification / code
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  • 1 contributor
History: 1 commit
Hiveurban's picture
Hiveurban
Create code/requirements.txt
c9592b9 verified almost 2 years ago
  • requirements.txt
    21 Bytes
    Create code/requirements.txt almost 2 years ago