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ixa-ehu
/
SciBERT-SQuAD-QuAC

Question Answering
Transformers
PyTorch
Safetensors
English
bert
Model card Files Files and versions
xet
Community
2

Instructions to use ixa-ehu/SciBERT-SQuAD-QuAC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ixa-ehu/SciBERT-SQuAD-QuAC with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="ixa-ehu/SciBERT-SQuAD-QuAC")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("ixa-ehu/SciBERT-SQuAD-QuAC")
    model = AutoModelForQuestionAnswering.from_pretrained("ixa-ehu/SciBERT-SQuAD-QuAC")
  • Notebooks
  • Google Colab
  • Kaggle
SciBERT-SQuAD-QuAC
880 MB
Ctrl+K
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  • 3 contributors
History: 3 commits
ixa-ehu's picture
ixa-ehu
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model (#1)
8d44c18 over 2 years ago
  • .gitattributes
    744 Bytes
    Adding `safetensors` variant of this model (#1) over 2 years ago
  • README.md
    1.17 kB
    Added SciBERT-SQuAD-QuAC model almost 5 years ago
  • config.json
    1.22 kB
    Added SciBERT-SQuAD-QuAC model almost 5 years ago
  • model.safetensors
    440 MB
    xet
    Adding `safetensors` variant of this model (#1) over 2 years ago
  • pytorch_model.bin
    440 MB
    xet
    Added SciBERT-SQuAD-QuAC model almost 5 years ago
  • vocab.txt
    228 kB
    Added SciBERT-SQuAD-QuAC model almost 5 years ago