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EMBO
/
bert-base-cased_NER-task

Token Classification
Transformers
PyTorch
TensorBoard
bert
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use EMBO/bert-base-cased_NER-task with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use EMBO/bert-base-cased_NER-task with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="EMBO/bert-base-cased_NER-task")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("EMBO/bert-base-cased_NER-task")
    model = AutoModelForTokenClassification.from_pretrained("EMBO/bert-base-cased_NER-task")
  • Notebooks
  • Google Colab
  • Kaggle
bert-base-cased_NER-task
2.15 GB
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  • 1 contributor
History: 5 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
a19a70d about 3 years ago
  • last-checkpoint
    Training in progress, step 3000 almost 4 years ago
  • runs
    Training in progress, step 3000 almost 4 years ago
  • .gitattributes
    1.23 kB
    Adding `safetensors` variant of this model about 3 years ago
  • .gitignore
    13 Bytes
    Training in progress, step 1000 almost 4 years ago
  • config.json
    1.38 kB
    Training in progress, step 1000 almost 4 years ago
  • model.safetensors
    431 MB
    xet
    Adding `safetensors` variant of this model about 3 years ago
  • pytorch_model.bin
    431 MB
    xet
    Training in progress, step 3000 almost 4 years ago
  • training_args.bin

    Detected Pickle imports (5)

    • "smtag.train.train_tokcl_benchmark.TrainingArgumentsTOKCL",
    • "transformers.trainer_utils.HubStrategy",
    • "transformers.trainer_utils.SchedulerType",
    • "transformers.trainer_utils.IntervalStrategy",
    • "torch.device"

    How to fix it?

    3.18 kB
    xet
    Training in progress, step 1000 almost 4 years ago