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RPygramar
/
monolang_roberta

Fill-Mask
Transformers
Safetensors
roberta
Generated from Trainer
Model card Files Files and versions
xet
Community

Instructions to use RPygramar/monolang_roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use RPygramar/monolang_roberta with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="RPygramar/monolang_roberta")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("RPygramar/monolang_roberta")
    model = AutoModelForMaskedLM.from_pretrained("RPygramar/monolang_roberta", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
monolang_roberta
340 MB
Ctrl+K
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  • 1 contributor
History: 4 commits
RPygramar's picture
RPygramar
End of training
e97f522 verified about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    89.4 kB
    End of training about 1 year ago
  • config.json
    636 Bytes
    End of training over 1 year ago
  • merges.txt
    633 kB
    End of training about 1 year ago
  • model.safetensors
    334 MB
    xet
    End of training about 1 year ago
  • special_tokens_map.json
    958 Bytes
    End of training over 1 year ago
  • tokenizer.json
    4 MB
    End of training about 1 year ago
  • tokenizer_config.json
    1.26 kB
    End of training over 1 year ago
  • training_args.bin
    5.78 kB
    xet
    End of training about 1 year ago
  • vocab.json
    987 kB
    End of training about 1 year ago