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synturk
/
sentagram

Token Classification
Transformers
Safetensors
Turkish
bert
syntürk
sentagram
sentence
elements
mistake
cümle
cümlenin ögeleri
hata
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use synturk/sentagram with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="synturk/sentagram")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("synturk/sentagram")
    model = AutoModelForTokenClassification.from_pretrained("synturk/sentagram")
  • Notebooks
  • Google Colab
  • Kaggle
sentagram
740 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
zlfkrmnz's picture
zlfkrmnz
Create README.md
e21e601 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    5.17 kB
    Create README.md over 1 year ago
  • config.json
    1.33 kB
    90.5 accuracy almost 2 years ago
  • model.safetensors
    735 MB
    xet
    93.5 accuracy almost 2 years ago
  • special_tokens_map.json
    125 Bytes
    90.5 accuracy almost 2 years ago
  • tokenizer.json
    3.24 MB
    90.5 accuracy almost 2 years ago
  • tokenizer_config.json
    1.25 kB
    90.5 accuracy almost 2 years ago
  • vocab.txt
    1.18 MB
    90.5 accuracy almost 2 years ago