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Hailay
/
glot500-multilingual-sentiment

Text Classification
Transformers
ONNX
Safetensors
multilingual
xlm-roberta
sentiment-analysis
social-media
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use Hailay/glot500-multilingual-sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Hailay/glot500-multilingual-sentiment with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Hailay/glot500-multilingual-sentiment")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Hailay/glot500-multilingual-sentiment")
    model = AutoModelForSequenceClassification.from_pretrained("Hailay/glot500-multilingual-sentiment", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
glot500-multilingual-sentiment
2.27 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 10 commits
Hailay's picture
Hailay
Update README.md
b402984 verified 23 days ago
  • onnx
    Add quantized ONNX export for in-browser inference via transformers.js 23 days ago
  • .gitattributes
    1.57 kB
    Initial release: glot500-base fine-tuned for multilingual 3-class sentiment (66.2% test accuracy) 24 days ago
  • README.md
    11.6 kB
    Update README.md 23 days ago
  • config.json
    889 Bytes
    Initial release: glot500-base fine-tuned for multilingual 3-class sentiment (66.2% test accuracy) 24 days ago
  • model.safetensors
    1.58 GB
    xet
    Initial release: glot500-base fine-tuned for multilingual 3-class sentiment (66.2% test accuracy) 24 days ago
  • sentencepiece.bpe.model
    7.66 MB
    xet
    Initial release: glot500-base fine-tuned for multilingual 3-class sentiment (66.2% test accuracy) 24 days ago
  • special_tokens_map.json
    279 Bytes
    Initial release: glot500-base fine-tuned for multilingual 3-class sentiment (66.2% test accuracy) 24 days ago
  • tokenizer.json
    26.9 MB
    xet
    Initial release: glot500-base fine-tuned for multilingual 3-class sentiment (66.2% test accuracy) 24 days ago
  • tokenizer_config.json
    1.22 kB
    Initial release: glot500-base fine-tuned for multilingual 3-class sentiment (66.2% test accuracy) 24 days ago