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AlpineHealth
/
history-31layers

Question Answering
Transformers
PyTorch
roberta
Model card Files Files and versions
xet
Community
4

Instructions to use AlpineHealth/history-31layers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use AlpineHealth/history-31layers with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="AlpineHealth/history-31layers")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("AlpineHealth/history-31layers")
    model = AutoModelForQuestionAnswering.from_pretrained("AlpineHealth/history-31layers")
  • Notebooks
  • Google Colab
  • Kaggle
history-31layers
1.77 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 5 commits
agr505's picture
agr505
Upload RobertaForQuestionAnswering
2b101cd almost 3 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • config.json
    736 Bytes
    Upload RobertaForQuestionAnswering almost 3 years ago
  • merges.txt
    456 kB
    Upload tokenizer (#2) almost 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

    • "collections.OrderedDict",
    • "torch.FloatStorage",
    • "torch.LongStorage",
    • "torch._utils._rebuild_tensor_v2"

    What is a pickle import?

    1.77 GB
    xet
    Upload RobertaForQuestionAnswering almost 3 years ago
  • special_tokens_map.json
    957 Bytes
    Upload tokenizer (#2) almost 3 years ago
  • tokenizer.json
    2.11 MB
    Upload tokenizer (#2) almost 3 years ago
  • tokenizer_config.json
    1.36 kB
    Upload tokenizer (#2) almost 3 years ago
  • vocab.json
    798 kB
    Upload tokenizer (#2) almost 3 years ago