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vumichien
/
albert-base-v2-squad2

Question Answering
Transformers
google-tensorflow TensorFlow
albert
generated_from_keras_callback
Model card Files Files and versions
xet
Community
1

Instructions to use vumichien/albert-base-v2-squad2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use vumichien/albert-base-v2-squad2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="vumichien/albert-base-v2-squad2")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("vumichien/albert-base-v2-squad2")
    model = AutoModelForQuestionAnswering.from_pretrained("vumichien/albert-base-v2-squad2")
  • Notebooks
  • Google Colab
  • Kaggle
albert-base-v2-squad2
45.2 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
vumichien's picture
vumichien
add tokenizer
1d7368e about 4 years ago
  • .gitattributes
    1.18 kB
    initial commit about 4 years ago
  • README.md
    951 Bytes
    add model about 4 years ago
  • config.json
    844 Bytes
    add model about 4 years ago
  • special_tokens_map.json
    156 Bytes
    add tokenizer about 4 years ago
  • spiece.model
    760 kB
    xet
    add tokenizer about 4 years ago
  • tf_model.h5
    44.4 MB
    xet
    add model about 4 years ago
  • tokenizer_config.json
    660 Bytes
    add tokenizer about 4 years ago