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vnktrmnb
/
bert-base-multilingual-cased-FT-TyDiQA_AUQC

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/bert-base-multilingual-cased-FT-TyDiQA_AUQC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use vnktrmnb/bert-base-multilingual-cased-FT-TyDiQA_AUQC with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="vnktrmnb/bert-base-multilingual-cased-FT-TyDiQA_AUQC")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("vnktrmnb/bert-base-multilingual-cased-FT-TyDiQA_AUQC")
    model = AutoModelForQuestionAnswering.from_pretrained("vnktrmnb/bert-base-multilingual-cased-FT-TyDiQA_AUQC", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
bert-base-multilingual-cased-FT-TyDiQA_AUQC
726 MB
Ctrl+K
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  • 1 contributor
History: 9 commits
vnktrmnb's picture
vnktrmnb
Training in progress epoch 1
16a80b0 about 3 years ago
  • logs
    Training in progress epoch 1 about 3 years ago
  • .gitattributes
    1.52 kB
    initial commit about 3 years ago
  • README.md
    2.45 kB
    Training in progress epoch 1 about 3 years ago
  • config.json
    813 Bytes
    Training in progress epoch 0 about 3 years ago
  • special_tokens_map.json
    125 Bytes
    Training in progress epoch 0 about 3 years ago
  • tf_model.h5
    709 MB
    xet
    Training in progress epoch 1 about 3 years ago
  • tokenizer.json
    2.92 MB
    Training in progress epoch 0 about 3 years ago
  • tokenizer_config.json
    315 Bytes
    Training in progress epoch 0 about 3 years ago
  • vocab.txt
    996 kB
    Training in progress epoch 0 about 3 years ago