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Rustem
/
roberta-large-copy

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

Instructions to use Rustem/roberta-large-copy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Rustem/roberta-large-copy with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="Rustem/roberta-large-copy")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("Rustem/roberta-large-copy")
    model = AutoModelForMaskedLM.from_pretrained("Rustem/roberta-large-copy")
  • Notebooks
  • Google Colab
  • Kaggle
roberta-large-copy
2.71 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
Rustem's picture
Rustem
Upload config.json
938e065 about 4 years ago
  • .gitattributes
    1.18 kB
    initial commit about 4 years ago
  • config.json
    482 Bytes
    Upload config.json about 4 years ago
  • flax_model.msgpack
    135 Bytes
    xet
    Upload flax_model.msgpack with git-lfs about 4 years ago
  • merges.txt
    456 kB
    Upload merges.txt about 4 years ago
  • pytorch_model.bin
    135 Bytes
    xet
    Upload pytorch_model.bin with git-lfs about 4 years ago
  • tf_model.h5
    135 Bytes
    xet
    Upload tf_model.h5 with git-lfs about 4 years ago
  • tokenizer.json
    1.36 MB
    Upload tokenizer.json about 4 years ago
  • vocab.json
    899 kB
    Upload vocab.json about 4 years ago