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prithivMLmods
/
Betelgeuse-bert-base-uncased

Fill-Mask
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")
  • Notebooks
  • Google Colab
  • Kaggle
Betelgeuse-bert-base-uncased
3.45 GB
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  • 1 contributor
History: 7 commits
prithivMLmods's picture
prithivMLmods
Update README.md
c1af143 verified about 2 years ago
  • coreml
    Upload 3 files about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • BERT.png
    131 kB
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  • README.md
    8 kB
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  • config.json
    593 Bytes
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  • flax_model.msgpack
    438 MB
    xet
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  • model.onnx
    532 MB
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  • model.safetensors
    440 MB
    xet
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  • pytorch_model.bin

    Detected Pickle imports (3)

    • "collections.OrderedDict",
    • "torch._utils._rebuild_tensor_v2",
    • "torch.FloatStorage"

    What is a pickle import?

    440 MB
    xet
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  • rust_model.ot
    534 MB
    xet
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  • tf_model.h5
    536 MB
    xet
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  • tokenizer.json
    466 kB
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  • tokenizer_config.json
    48 Bytes
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  • vocab.txt
    262 kB
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