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pysentimiento
/
robertuito-base-deacc

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

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

  • Libraries
  • Transformers

    How to use pysentimiento/robertuito-base-deacc with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="pysentimiento/robertuito-base-deacc")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("pysentimiento/robertuito-base-deacc")
    model = AutoModelForMaskedLM.from_pretrained("pysentimiento/robertuito-base-deacc")
  • Notebooks
  • Google Colab
  • Kaggle
robertuito-base-deacc
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  • 1 contributor
History: 14 commits
finiteautomata's picture
finiteautomata
Update README.md
0fc2bce about 3 years ago
  • .gitattributes
    1.18 kB
    initial commit over 4 years ago
  • README.md
    5.68 kB
    Update README.md about 3 years ago
  • config.json
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    Checkpoint 288k over 4 years ago
  • pytorch_model.bin
    435 MB
    xet
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  • special_tokens_map.json
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    Checkpoint 288k over 4 years ago
  • tokenizer.json
    859 kB
    Checkpoint 288k over 4 years ago
  • tokenizer_config.json
    335 Bytes
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  • training_args.bin
    2.61 kB
    xet
    Checkpoint 288k over 4 years ago