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vnktrmnb
/
MBERT_FT-TyDiQA_S47

Question Answering
Transformers
google-tensorflow TensorFlow
TensorBoard
bert
generated_from_keras_callback
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use vnktrmnb/MBERT_FT-TyDiQA_S47 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use vnktrmnb/MBERT_FT-TyDiQA_S47 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="vnktrmnb/MBERT_FT-TyDiQA_S47")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("vnktrmnb/MBERT_FT-TyDiQA_S47")
    model = AutoModelForQuestionAnswering.from_pretrained("vnktrmnb/MBERT_FT-TyDiQA_S47", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
MBERT_FT-TyDiQA_S47 / train
5.29 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
vnktrmnb's picture
vnktrmnb
Training in progress epoch 2
edc8735 about 3 years ago
  • events.out.tfevents.1693372393.a0fb928b3a10.319.1.v2
    2.65 MB
    xet
    Training in progress epoch 2 about 3 years ago
  • events.out.tfevents.1693464913.8293dfc4e432.183.0.v2
    2.65 MB
    xet
    Training in progress epoch 2 about 3 years ago