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rsepulvedat
/
5W1H_Recognizer

Token Classification
Transformers
Safetensors
Spanish
bert
Model card Files Files and versions
xet
Community

Instructions to use rsepulvedat/5W1H_Recognizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use rsepulvedat/5W1H_Recognizer with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="rsepulvedat/5W1H_Recognizer")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("rsepulvedat/5W1H_Recognizer")
    model = AutoModelForTokenClassification.from_pretrained("rsepulvedat/5W1H_Recognizer")
  • Notebooks
  • Google Colab
  • Kaggle
5W1H_Recognizer
438 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
rsepulvedat's picture
rsepulvedat
Upload 9 files
7125d4d verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    69 Bytes
    Update README.md about 2 years ago
  • config.json
    1.2 kB
    baseline model about 2 years ago
  • eval_results.txt
    118 Bytes
    baseline model about 2 years ago
  • model.safetensors
    437 MB
    xet
    Upload 9 files about 2 years ago
  • model_args.json
    2.62 kB
    baseline model about 2 years ago
  • special_tokens_map.json
    125 Bytes
    baseline model about 2 years ago
  • tokenizer.json
    730 kB
    baseline model about 2 years ago
  • tokenizer_config.json
    1.3 kB
    baseline model about 2 years ago
  • training_args.bin

    Detected Pickle imports (1)

    • "simpletransformers.config.model_args.NERArgs"

    How to fix it?

    3.7 kB
    xet
    baseline model about 2 years ago
  • vocab.txt
    242 kB
    baseline model about 2 years ago