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123tarunanand
/
albert-xlarge-finetuned

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

Instructions to use 123tarunanand/albert-xlarge-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use 123tarunanand/albert-xlarge-finetuned 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="123tarunanand/albert-xlarge-finetuned")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("123tarunanand/albert-xlarge-finetuned")
    model = AutoModelForQuestionAnswering.from_pretrained("123tarunanand/albert-xlarge-finetuned", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
albert-xlarge-finetuned
236 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 2 commits
Tarun Anand
added
a6f1db9 over 4 years ago
  • .gitattributes
    1.17 kB
    initial commit over 4 years ago
  • README.md
    2.09 kB
    added over 4 years ago
  • added_tokens.json
    2 Bytes
    added over 4 years ago
  • config.json
    717 Bytes
    added over 4 years ago
  • eval.csv
    312 Bytes
    added over 4 years ago
  • pytorch_model.bin
    235 MB
    xet
    added over 4 years ago
  • special_tokens_map.json
    156 Bytes
    added over 4 years ago
  • spiece.model
    760 kB
    xet
    added over 4 years ago
  • tokenizer_config.json
    58 Bytes
    added over 4 years ago
  • training_args.bin

    Detected Pickle imports (2)

    • "argparse.Namespace",
    • "torch.device"

    How to fix it?

    1.42 kB
    xet
    added over 4 years ago