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Andranik
/
TestQaV1

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

Instructions to use Andranik/TestQaV1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Andranik/TestQaV1 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="Andranik/TestQaV1")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("Andranik/TestQaV1")
    model = AutoModelForQuestionAnswering.from_pretrained("Andranik/TestQaV1")
  • Notebooks
  • Google Colab
  • Kaggle
TestQaV1
996 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 14 commits
Andranik's picture
Andranik
Upload rust_model.ot with git-lfs
10ad36d about 4 years ago
  • .gitattributes
    1.18 kB
    initial commit about 4 years ago
  • config.json
    782 Bytes
    Upload config.json about 4 years ago
  • merges.txt
    456 kB
    Upload merges.txt about 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

    • "torch._utils._rebuild_tensor_v2",
    • "collections.OrderedDict",
    • "torch.FloatStorage",
    • "torch.LongStorage"

    What is a pickle import?

    496 MB
    xet
    Upload pytorch_model.bin with git-lfs about 4 years ago
  • rust_model.ot
    499 MB
    xet
    Upload rust_model.ot with git-lfs about 4 years ago
  • special_tokens_map.json
    772 Bytes
    Upload special_tokens_map.json about 4 years ago
  • tokenizer_config.json
    1.38 kB
    Upload tokenizer_config.json about 4 years ago
  • vocab.json
    798 kB
    Upload vocab.json about 4 years ago