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rsml
/
bbert_qa

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

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

  • Libraries
  • Transformers

    How to use rsml/bbert_qa with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="rsml/bbert_qa")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("rsml/bbert_qa")
    model = AutoModelForQuestionAnswering.from_pretrained("rsml/bbert_qa")
  • Notebooks
  • Google Colab
  • Kaggle
bbert_qa
532 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 6 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
b7bc362 verified over 1 year ago
  • runs
    End of training almost 3 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • .gitignore
    13 Bytes
    Training in progress, step 500 almost 3 years ago
  • README.md
    1.42 kB
    Update README.md almost 3 years ago
  • config.json
    561 Bytes
    Training in progress, step 500 almost 3 years ago
  • model.safetensors
    265 MB
    xet
    Adding `safetensors` variant of this model over 1 year ago
  • pytorch_model.bin
    265 MB
    xet
    End of training almost 3 years ago
  • special_tokens_map.json
    125 Bytes
    Training in progress, step 500 almost 3 years ago
  • tokenizer.json
    712 kB
    Training in progress, step 500 almost 3 years ago
  • tokenizer_config.json
    394 Bytes
    Training in progress, step 500 almost 3 years ago
  • training_args.bin
    3.9 kB
    xet
    Training in progress, step 500 almost 3 years ago
  • vocab.txt
    232 kB
    Training in progress, step 500 almost 3 years ago