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qandos0
/
SentimentArEng

Text Classification
Transformers
Safetensors
Arabic
English
xlm-roberta
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use qandos0/SentimentArEng with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use qandos0/SentimentArEng with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="qandos0/SentimentArEng")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("qandos0/SentimentArEng")
    model = AutoModelForSequenceClassification.from_pretrained("qandos0/SentimentArEng", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
SentimentArEng
1.13 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 9 commits
Noor0's picture
Noor0
Update README.md
7bd5c34 over 2 years ago
  • .gitattributes
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  • README.md
    1.6 kB
    Update README.md over 2 years ago
  • config.json
    1 kB
    Noor0/XLM_RoBERTa_sentiment_arenggg over 2 years ago
  • model.safetensors
    1.11 GB
    xet
    Noor0/XLM_RoBERTa_sentiment_arenggg over 2 years ago
  • special_tokens_map.json
    280 Bytes
    Upload 3 files over 2 years ago
  • tokenizer.json
    17.1 MB
    xet
    Upload 3 files over 2 years ago
  • tokenizer_config.json
    1.2 kB
    Upload 3 files over 2 years ago
  • training_args.bin
    4.66 kB
    xet
    Noor0/XLM_RoBERTa_sentiment_arenggg over 2 years ago