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LenguajeNaturalAI
/
tiny-albert-testing

Feature Extraction
Transformers
Safetensors
albert
Model card Files Files and versions
xet
Community

Instructions to use LenguajeNaturalAI/tiny-albert-testing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use LenguajeNaturalAI/tiny-albert-testing with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="LenguajeNaturalAI/tiny-albert-testing")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("LenguajeNaturalAI/tiny-albert-testing")
    model = AutoModel.from_pretrained("LenguajeNaturalAI/tiny-albert-testing")
  • Notebooks
  • Google Colab
  • Kaggle
tiny-albert-testing
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  • 1 contributor
History: 5 commits
avacaondata's picture
avacaondata
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f0ee8db verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    5.18 kB
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  • config.json
    685 Bytes
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  • model.safetensors
    19.4 MB
    xet
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  • special_tokens_map.json
    286 Bytes
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  • spiece.model
    760 kB
    xet
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  • tokenizer_config.json
    1.25 kB
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