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tee-oh-double-dee
/
social-orientation-multilingual

Text Classification
Transformers
Safetensors
xlm-roberta
social-orientation
classification
multilingual
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use tee-oh-double-dee/social-orientation-multilingual with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use tee-oh-double-dee/social-orientation-multilingual with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="tee-oh-double-dee/social-orientation-multilingual")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("tee-oh-double-dee/social-orientation-multilingual")
    model = AutoModelForSequenceClassification.from_pretrained("tee-oh-double-dee/social-orientation-multilingual", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
social-orientation-multilingual
1.13 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
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tee-oh-double-dee
Update README.md
1806b4c verified over 2 years ago
  • .gitattributes
    1.57 kB
    Initial commit over 2 years ago
  • README.md
    5.96 kB
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  • config.json
    1.35 kB
    Initial commit over 2 years ago
  • figure1.png
    866 kB
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  • model.safetensors
    1.11 GB
    xet
    Initial commit over 2 years ago
  • special_tokens_map.json
    964 Bytes
    Initial commit over 2 years ago
  • tokenizer.json
    17.1 MB
    xet
    Initial commit over 2 years ago
  • tokenizer_config.json
    1.26 kB
    Initial commit over 2 years ago