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mohsenfayyaz
/
BERT_Warmup

Token Classification
Transformers
PyTorch
distilbert
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use mohsenfayyaz/BERT_Warmup with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="mohsenfayyaz/BERT_Warmup")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("mohsenfayyaz/BERT_Warmup")
    model = AutoModelForTokenClassification.from_pretrained("mohsenfayyaz/BERT_Warmup")
  • Notebooks
  • Google Colab
  • Kaggle
BERT_Warmup
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
mohsenfayyaz's picture
mohsenfayyaz
Enable output_hidden_states
1f68cdd about 5 years ago
  • .gitattributes
    690 Bytes
    initial commit about 5 years ago
  • config.json
    1.28 kB
    Enable output_hidden_states about 5 years ago
  • pytorch_model.bin
    266 MB
    xet
    Enable output_hidden_states about 5 years ago
  • special_tokens_map.json
    112 Bytes
    Initial commit about 5 years ago
  • tokenizer_config.json
    258 Bytes
    Enable output_hidden_states about 5 years ago
  • training_args.bin

    Detected Pickle imports (4)

    • "transformers.training_args.TrainingArguments",
    • "transformers.trainer_utils.SchedulerType",
    • "transformers.trainer_utils.EvaluationStrategy",
    • "torch.device"

    How to fix it?

    2.16 kB
    xet
    Enable output_hidden_states about 5 years ago
  • vocab.txt
    232 kB
    Initial commit about 5 years ago