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Bombek1
/
bert-base-uncased-litert

Feature Extraction
Transformers
LiteRT
LiteRT
bert
edge
on-device
Model card Files Files and versions
xet
Community

Instructions to use Bombek1/bert-base-uncased-litert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Bombek1/bert-base-uncased-litert with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="Bombek1/bert-base-uncased-litert")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Bombek1/bert-base-uncased-litert", dtype="auto")
  • LiteRT

    How to use Bombek1/bert-base-uncased-litert with LiteRT:

    # No code snippets available yet for this library.
    
    # To use this model, check the repository files and the library's documentation.
    
    # Want to help? PRs adding snippets are welcome at:
    # https://github.com/huggingface/huggingface.js
  • Notebooks
  • Google Colab
  • Kaggle
bert-base-uncased-litert
435 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
Bombek1's picture
Bombek1
Update README.md
7b77392 verified 4 months ago
  • .gitattributes
    1.52 kB
    initial commit 4 months ago
  • README.md
    3.6 kB
    Update README.md 4 months ago
  • google-bert_bert-base-uncased.tflite
    435 MB
    xet
    Upload google-bert_bert-base-uncased.tflite with huggingface_hub 4 months ago