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ychenNLP
/
arabic-relation-extraction

Text Classification
Transformers
PyTorch
google-tensorflow TensorFlow
TensorBoard
Arabic
English
bert
BERT
Text Classification
relation
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community
3

Instructions to use ychenNLP/arabic-relation-extraction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ychenNLP/arabic-relation-extraction with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="ychenNLP/arabic-relation-extraction")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("ychenNLP/arabic-relation-extraction")
    model = AutoModelForSequenceClassification.from_pretrained("ychenNLP/arabic-relation-extraction")
  • Notebooks
  • Google Colab
  • Kaggle
arabic-relation-extraction / runs
37.5 kB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 1 commit
edchengg
final model
8f31827 almost 4 years ago
  • Jun29_15-46-00_brainiac
    final model almost 4 years ago