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vinai
/
xphonebert-base

Fill-Mask
Transformers
PyTorch
roberta
Model card Files Files and versions
xet
Community
3

Instructions to use vinai/xphonebert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use vinai/xphonebert-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="vinai/xphonebert-base")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("vinai/xphonebert-base")
    model = AutoModelForMaskedLM.from_pretrained("vinai/xphonebert-base")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
xphonebert-base
350 MB
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  • 1 contributor
History: 6 commits
dqnguyen's picture
dqnguyen
Update README.md
cf2bc63 verified over 1 year ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • README.md
    4.46 kB
    Update README.md over 1 year ago
  • config.json
    641 Bytes
    Upload config and tokenizer about 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    350 MB
    xet
    Upload pytorch_model.bin about 3 years ago
  • tokenizer.json
    40.8 kB
    Upload config and tokenizer about 3 years ago