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gaeunseo
/
finetuned_model_large

Question Answering
Transformers
PyTorch
roberta
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use gaeunseo/finetuned_model_large with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="gaeunseo/finetuned_model_large")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("gaeunseo/finetuned_model_large")
    model = AutoModelForQuestionAnswering.from_pretrained("gaeunseo/finetuned_model_large")
  • Notebooks
  • Google Colab
  • Kaggle
finetuned_model_large
1.34 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
gaeunseo's picture
gaeunseo
Upload tokenizer
95e4ee2 almost 3 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • config.json
    781 Bytes
    Upload RobertaForQuestionAnswering almost 3 years ago
  • pytorch_model.bin
    1.34 GB
    xet
    Upload RobertaForQuestionAnswering almost 3 years ago
  • special_tokens_map.json
    173 Bytes
    Upload tokenizer almost 3 years ago
  • tokenizer.json
    752 kB
    Upload tokenizer almost 3 years ago
  • tokenizer_config.json
    415 Bytes
    Upload tokenizer almost 3 years ago
  • vocab.txt
    248 kB
    Upload tokenizer almost 3 years ago