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Souvik123
/
results

Question Answering
Transformers
PyTorch
distilbert
Generated from Trainer
Model card Files Files and versions
xet
Community
1

Instructions to use Souvik123/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Souvik123/results with Transformers:

    # Use a pipeline as a high-level helper
    # Warning: Pipeline type "question-answering" is no longer supported in transformers v5.
    # You must load the model directly (see below) or downgrade to v4.x with:
    # pip install "transformers<5.0.0"
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="Souvik123/results")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("Souvik123/results")
    model = AutoModelForQuestionAnswering.from_pretrained("Souvik123/results", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
results
266 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
Souvik123's picture
Souvik123
End of training
da2c6e0 about 3 years ago
  • .gitattributes
    1.52 kB
    initial commit about 3 years ago
  • README.md
    1.54 kB
    End of training about 3 years ago
  • config.json
    577 Bytes
    End of training about 3 years ago
  • pytorch_model.bin
    265 MB
    xet
    End of training about 3 years ago
  • special_tokens_map.json
    125 Bytes
    End of training about 3 years ago
  • tokenizer.json
    712 kB
    End of training about 3 years ago
  • tokenizer_config.json
    320 Bytes
    End of training about 3 years ago
  • training_args.bin
    4.03 kB
    xet
    End of training about 3 years ago
  • vocab.txt
    232 kB
    End of training about 3 years ago