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namnthust
/
content

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

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

  • Libraries
  • Transformers

    How to use namnthust/content with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="namnthust/content")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("namnthust/content")
    model = AutoModelForQuestionAnswering.from_pretrained("namnthust/content")
  • Notebooks
  • Google Colab
  • Kaggle
content / sample_data
56.8 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
namnthust's picture
namnthust
Training in progress, epoch 1
d9a1581 verified about 2 years ago
  • README.md
    930 Bytes
    Training in progress, epoch 1 about 2 years ago
  • anscombe.json
    1.7 kB
    Training in progress, epoch 1 about 2 years ago
  • california_housing_test.csv
    301 kB
    Training in progress, epoch 1 about 2 years ago
  • california_housing_train.csv
    1.71 MB
    Training in progress, epoch 1 about 2 years ago
  • mnist_test.csv
    18.3 MB
    xet
    Training in progress, epoch 1 about 2 years ago
  • mnist_train_small.csv
    36.5 MB
    xet
    Training in progress, epoch 1 about 2 years ago