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vuiseng9
/
bert-base-uncased-squadv1-65.1-sparse

Transformers
PyTorch
google-tensorflow TensorFlow
bert
Model card Files Files and versions
xet
Community
1

Instructions to use vuiseng9/bert-base-uncased-squadv1-65.1-sparse with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use vuiseng9/bert-base-uncased-squadv1-65.1-sparse with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, NNCFNetwork
    
    tokenizer = AutoTokenizer.from_pretrained("vuiseng9/bert-base-uncased-squadv1-65.1-sparse")
    model = NNCFNetwork.from_pretrained("vuiseng9/bert-base-uncased-squadv1-65.1-sparse", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
bert-base-uncased-squadv1-65.1-sparse
904 MB
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  • 2 contributors
History: 4 commits
vuiseng9's picture
vuiseng9
Update README.md
101dba9 over 4 years ago
  • .gitattributes
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  • README.md
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  • all_results.json
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  • config.json
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  • linear_layer_sparse_stats_total_30M_65.1_relative_sparsity.csv
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  • nncf_bert_config_squad_mvnt_pruning-distill-run9.json
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  • pytorch_model.bin
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  • special_tokens_map.json
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  • tf_eval_results.json
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  • tf_model.h5
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  • tokenizer.json
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  • tokenizer_config.json
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  • train_results.json
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  • training_args.bin
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  • vocab.txt
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