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neuropark
/
sahajBERT-NER

Token Classification
Transformers
PyTorch
Bengali
albert
collaborative
bengali
NER
Model card Files Files and versions
xet
Community
1

Instructions to use neuropark/sahajBERT-NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use neuropark/sahajBERT-NER with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="neuropark/sahajBERT-NER")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("neuropark/sahajBERT-NER")
    model = AutoModelForTokenClassification.from_pretrained("neuropark/sahajBERT-NER")
  • Notebooks
  • Google Colab
  • Kaggle
sahajBERT-NER
69.3 MB
Ctrl+K
Ctrl+K
  • 4 contributors
History: 24 commits
SaulLu's picture
SaulLu
Add tokenizer type in config.json
126f3f6 almost 5 years ago
  • .gitattributes
    732 Bytes
    Commit From AutoNLP almost 5 years ago
  • README.md
    1.93 kB
    hyperparameter tuning step 19519 almost 5 years ago
  • config.json
    1.25 kB
    Add tokenizer type in config.json almost 5 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    67.6 MB
    xet
    hyperparameter tuning step 19519 almost 5 years ago
  • special_tokens_map.json
    322 Bytes
    add tokenizer almost 5 years ago
  • tokenizer.json
    1.72 MB
    add tokenizer almost 5 years ago
  • tokenizer_config.json
    471 Bytes
    add tokenizer almost 5 years ago