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datnth1709
/
Phobert-classifier

Fill-Mask
Transformers
PyTorch
google-tensorflow TensorFlow
JAX
roberta
Model card Files Files and versions
xet
Community

Instructions to use datnth1709/Phobert-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use datnth1709/Phobert-classifier with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="datnth1709/Phobert-classifier")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("datnth1709/Phobert-classifier")
    model = AutoModelForMaskedLM.from_pretrained("datnth1709/Phobert-classifier")
  • Notebooks
  • Google Colab
  • Kaggle
Phobert-classifier
2.04 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
datnth1709's picture
datnth1709
Upload vocab.txt
412842e about 4 years ago
  • .gitattributes
    1.18 kB
    initial commit about 4 years ago
  • README.md
    2.6 kB
    readme about 4 years ago
  • bpe.codes
    1.14 MB
    bped.code about 4 years ago
  • config.json
    557 Bytes
    config.json about 4 years ago
  • flax_model.msgpack
    134 Bytes
    xet
    flax about 4 years ago
  • pytorch_model.bin
    134 Bytes
    xet
    bin about 4 years ago
  • tf_model.h5
    134 Bytes
    xet
    h5 about 4 years ago
  • vocab.txt
    895 kB
    Upload vocab.txt about 4 years ago