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nlpotato
/
roberta-base-e5

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

Instructions to use nlpotato/roberta-base-e5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use nlpotato/roberta-base-e5 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="nlpotato/roberta-base-e5")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("nlpotato/roberta-base-e5")
    model = AutoModelForQuestionAnswering.from_pretrained("nlpotato/roberta-base-e5")
  • Notebooks
  • Google Colab
  • Kaggle
roberta-base-e5
881 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
59d2ee5 almost 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • config.json
    805 Bytes
    Upload RobertaForQuestionAnswering over 3 years ago
  • model.safetensors
    440 MB
    xet
    Adding `safetensors` variant of this model almost 3 years ago
  • pytorch_model.bin
    440 MB
    xet
    Upload RobertaForQuestionAnswering over 3 years ago
  • special_tokens_map.json
    173 Bytes
    Upload tokenizer over 3 years ago
  • tokenizer.json
    752 kB
    Upload tokenizer over 3 years ago
  • tokenizer_config.json
    645 Bytes
    Upload tokenizer over 3 years ago
  • vocab.txt
    248 kB
    Upload tokenizer over 3 years ago