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ruselkomp
/
xlm-roberta

Question Answering
Transformers
PyTorch
TensorBoard
xlm-roberta
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community
1

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

  • Libraries
  • Transformers

    How to use ruselkomp/xlm-roberta with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="ruselkomp/xlm-roberta")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("ruselkomp/xlm-roberta")
    model = AutoModelForQuestionAnswering.from_pretrained("ruselkomp/xlm-roberta")
  • Notebooks
  • Google Colab
  • Kaggle
xlm-roberta
4.49 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 13 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
0b34439 over 2 years ago
  • runs
    Model save about 4 years ago
  • .gitattributes
    1.28 kB
    Adding `safetensors` variant of this model over 2 years ago
  • .gitignore
    13 Bytes
    Training in progress, step 5000 about 4 years ago
  • README.md
    1.43 kB
    update model card README.md about 4 years ago
  • config.json
    845 Bytes
    Training in progress, step 5000 about 4 years ago
  • model.safetensors
    2.24 GB
    xet
    Adding `safetensors` variant of this model over 2 years ago
  • pytorch_model.bin
    2.24 GB
    xet
    Model save about 4 years ago
  • special_tokens_map.json
    150 Bytes
    Training in progress, step 5000 about 4 years ago
  • tokenizer.json
    17.1 MB
    xet
    Training in progress, step 5000 about 4 years ago
  • tokenizer_config.json
    581 Bytes
    Training in progress, step 5000 about 4 years ago
  • training_args.bin
    3.18 kB
    xet
    Training in progress, step 5000 about 4 years ago