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LucasS
/
albertABSA

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

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

  • Libraries
  • Transformers

    How to use LucasS/albertABSA with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="LucasS/albertABSA")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("LucasS/albertABSA")
    model = AutoModelForQuestionAnswering.from_pretrained("LucasS/albertABSA")
  • Notebooks
  • Google Colab
  • Kaggle
albertABSA
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  • 1 contributor
History: 3 commits
LucasS's picture
LucasS
add tokenizer
d23092d over 4 years ago
  • .gitattributes
    1.18 kB
    initial commit over 4 years ago
  • config.json
    837 Bytes
    add model over 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    44.4 MB
    xet
    add model over 4 years ago
  • special_tokens_map.json
    245 Bytes
    add tokenizer over 4 years ago
  • tokenizer.json
    1.31 MB
    add tokenizer over 4 years ago
  • tokenizer_config.json
    469 Bytes
    add tokenizer over 4 years ago