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aplycaebous
/
tb-XLM-R-fpt

Fill-Mask
Transformers
PyTorch
xlm-roberta
Model card Files Files and versions
xet
Community
1

Instructions to use aplycaebous/tb-XLM-R-fpt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use aplycaebous/tb-XLM-R-fpt with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="aplycaebous/tb-XLM-R-fpt")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("aplycaebous/tb-XLM-R-fpt")
    model = AutoModelForMaskedLM.from_pretrained("aplycaebous/tb-XLM-R-fpt")
  • Notebooks
  • Google Colab
  • Kaggle
tb-XLM-R-fpt
1.12 GB
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  • 1 contributor
History: 3 commits
aplycaebous's picture
aplycaebous
Upload 6 files
71ad90e verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    0 Bytes
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  • config.json
    693 Bytes
    Upload 6 files about 2 years ago
  • pytorch_model.bin
    1.11 GB
    xet
    Upload 6 files about 2 years ago
  • sentencepiece.bpe.model
    5.07 MB
    xet
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  • special_tokens_map.json
    239 Bytes
    Upload 6 files about 2 years ago
  • tokenizer_config.json
    366 Bytes
    Upload 6 files about 2 years ago
  • training_args.bin
    2.35 kB
    xet
    Upload 6 files about 2 years ago