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prithivMLmods
/
Betelgeuse-bert-base-uncased

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Transformers
PyTorch
google-tensorflow TensorFlow
JAX
Rust
Core ML
ONNX
Safetensors
bert
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use prithivMLmods/Betelgeuse-bert-base-uncased with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="prithivMLmods/Betelgeuse-bert-base-uncased")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("prithivMLmods/Betelgeuse-bert-base-uncased")
    model = AutoModelForMaskedLM.from_pretrained("prithivMLmods/Betelgeuse-bert-base-uncased", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Betelgeuse-bert-base-uncased / coreml
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  • 1 contributor
History: 1 commit
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prithivMLmods
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5f57a1b verified about 2 years ago
  • fill-mask
    Upload 3 files about 2 years ago