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abletobetable
/
mdeberta-ru-qa

Question Answering
Transformers
PyTorch
Russian
deberta-v2
finance
legal
Model card Files Files and versions
xet
Community
1

Instructions to use abletobetable/mdeberta-ru-qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use abletobetable/mdeberta-ru-qa with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="abletobetable/mdeberta-ru-qa")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("abletobetable/mdeberta-ru-qa")
    model = AutoModelForQuestionAnswering.from_pretrained("abletobetable/mdeberta-ru-qa")
  • Notebooks
  • Google Colab
  • Kaggle
mdeberta-ru-qa
1.11 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 36 commits
abletobetable's picture
abletobetable
Update README.md
007330e about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • .gitignore
    13 Bytes
    Training in progress, step 1000 about 3 years ago
  • README.md
    227 Bytes
    Update README.md about 3 years ago
  • config.json
    884 Bytes
    Training in progress, step 1000 about 3 years ago
  • pytorch_model.bin
    1.11 GB
    xet
    Training in progress, step 17000 about 3 years ago
  • special_tokens_map.json
    125 Bytes
    Training in progress, step 1000 about 3 years ago
  • tokenizer.json
    573 kB
    Training in progress, step 1000 about 3 years ago
  • tokenizer_config.json
    374 Bytes
    Training in progress, step 1000 about 3 years ago
  • training_args.bin
    3.58 kB
    xet
    Training in progress, step 1000 about 3 years ago
  • vocab.txt
    262 kB
    Training in progress, step 1000 about 3 years ago