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TerminatorPower
/
nerT

Token Classification
Transformers
Safetensors
Turkish
bert
text-classification
ner
turkish
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use TerminatorPower/nerT with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="TerminatorPower/nerT")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("TerminatorPower/nerT")
    model = AutoModelForSequenceClassification.from_pretrained("TerminatorPower/nerT")
  • Notebooks
  • Google Colab
  • Kaggle
nerT
444 MB
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  • 1 contributor
History: 7 commits
TerminatorPower's picture
TerminatorPower
Upload tokenizer
4059a21 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    2.9 kB
    Upload BertForSequenceClassification over 1 year ago
  • config.json
    959 Bytes
    Upload BertForSequenceClassification over 1 year ago
  • model.safetensors
    443 MB
    xet
    Upload BertForSequenceClassification over 1 year ago
  • special_tokens_map.json
    695 Bytes
    Upload tokenizer almost 2 years ago
  • tokenizer.json
    766 kB
    Upload tokenizer almost 2 years ago
  • tokenizer_config.json
    1.48 kB
    Upload tokenizer almost 2 years ago
  • vocab.txt
    263 kB
    Upload tokenizer almost 2 years ago