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Abdu-GH
/
AraRest-Arabic-Restaurant-Reviews-Sentiment-Analysis

Text Classification
Transformers
Safetensors
Arabic
bert
arabic
sentiment-analysis
huggingface
restaurants
fine-tuning
nlp
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use Abdu-GH/AraRest-Arabic-Restaurant-Reviews-Sentiment-Analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Abdu-GH/AraRest-Arabic-Restaurant-Reviews-Sentiment-Analysis with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Abdu-GH/AraRest-Arabic-Restaurant-Reviews-Sentiment-Analysis")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Abdu-GH/AraRest-Arabic-Restaurant-Reviews-Sentiment-Analysis")
    model = AutoModelForSequenceClassification.from_pretrained("Abdu-GH/AraRest-Arabic-Restaurant-Reviews-Sentiment-Analysis", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
AraRest-Arabic-Restaurant-Reviews-Sentiment-Analysis
543 MB
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  • 2 contributors
History: 52 commits
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Abdu-GH
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