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SaulLu
/
recreate-history

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

Instructions to use SaulLu/recreate-history with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use SaulLu/recreate-history with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="SaulLu/recreate-history")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("SaulLu/recreate-history")
    model = AutoModelForTokenClassification.from_pretrained("SaulLu/recreate-history")
  • Notebooks
  • Google Colab
  • Kaggle
recreate-history
69.3 MB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 22 commits
Upload
hyperparameter tuning step 19519
858f522 almost 5 years ago
  • .gitattributes
    690 Bytes
    initial commit almost 5 years ago
  • README.md
    1.93 kB
    hyperparameter tuning step 19519 almost 5 years ago
  • config.json
    1.15 kB
    hyperparameter tuning step 19519 almost 5 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    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