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anaghasavit
/
qa-model-finetuned

Feature Extraction
Transformers
PyTorch
roberta
Model card Files Files and versions
xet
Community

Instructions to use anaghasavit/qa-model-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use anaghasavit/qa-model-finetuned with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="anaghasavit/qa-model-finetuned")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("anaghasavit/qa-model-finetuned")
    model = AutoModel.from_pretrained("anaghasavit/qa-model-finetuned")
  • Notebooks
  • Google Colab
  • Kaggle
qa-model-finetuned
500 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
anaghasavit's picture
anaghasavit
Upload tokenizer
9f85a73 about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • config.json
    762 Bytes
    Upload model about 3 years ago
  • merges.txt
    456 kB
    Upload tokenizer about 3 years ago
  • pytorch_model.bin
    499 MB
    xet
    Upload model about 3 years ago
  • special_tokens_map.json
    957 Bytes
    Upload tokenizer about 3 years ago
  • tokenizer_config.json
    1.31 kB
    Upload tokenizer about 3 years ago
  • vocab.json
    999 kB
    Upload tokenizer about 3 years ago