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PRAli22
/
AraBert-Arabic-Sentiment-Analysis

Text Classification
Transformers
TensorBoard
Safetensors
Arabic
bert
Generated from Trainer
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use PRAli22/AraBert-Arabic-Sentiment-Analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use PRAli22/AraBert-Arabic-Sentiment-Analysis with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="PRAli22/AraBert-Arabic-Sentiment-Analysis")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("PRAli22/AraBert-Arabic-Sentiment-Analysis")
    model = AutoModelForSequenceClassification.from_pretrained("PRAli22/AraBert-Arabic-Sentiment-Analysis")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
AraBert-Arabic-Sentiment-Analysis / runs
6.17 kB
Ctrl+K
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  • 1 contributor
History: 1 commit
PRAli22's picture
PRAli22
End of training
76b3bdd verified about 2 years ago
  • Mar13_02-07-51_e401128b8450
    End of training about 2 years ago