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DataScientist1122
/
BERT_MedQuad_15052024

Question Answering
Transformers
TensorBoard
Safetensors
bert
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use DataScientist1122/BERT_MedQuad_15052024 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use DataScientist1122/BERT_MedQuad_15052024 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="DataScientist1122/BERT_MedQuad_15052024")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("DataScientist1122/BERT_MedQuad_15052024")
    model = AutoModelForQuestionAnswering.from_pretrained("DataScientist1122/BERT_MedQuad_15052024", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
BERT_MedQuad_15052024
437 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 106 commits
DataScientist1122's picture
DataScientist1122
Training in progress, step 1800
132305d verified about 2 years ago
  • runs
    Training in progress, step 1800 about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • config.json
    673 Bytes
    Training in progress, step 100 about 2 years ago
  • model.safetensors
    436 MB
    xet
    Training in progress, step 1800 about 2 years ago
  • special_tokens_map.json
    125 Bytes
    Training in progress, step 100 about 2 years ago
  • tokenizer.json
    712 kB
    Training in progress, step 100 about 2 years ago
  • tokenizer_config.json
    1.19 kB
    Training in progress, step 100 about 2 years ago
  • training_args.bin
    5.05 kB
    xet
    Training in progress, step 100 about 2 years ago
  • vocab.txt
    232 kB
    Training in progress, step 100 about 2 years ago