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UngLong
/
cafebert-classification-ft

Text Classification
Transformers
Safetensors
Vietnamese
xlm-roberta
socialmedia
toxiccomment
classification_toxic_comment
transformer
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use UngLong/cafebert-classification-ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use UngLong/cafebert-classification-ft with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="UngLong/cafebert-classification-ft")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("UngLong/cafebert-classification-ft")
    model = AutoModelForSequenceClassification.from_pretrained("UngLong/cafebert-classification-ft")
  • Notebooks
  • Google Colab
  • Kaggle
cafebert-classification-ft
2.26 GB
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  • 1 contributor
History: 9 commits
UngLong's picture
UngLong
Update README.md
c7bfece verified about 1 year ago
  • .gitattributes
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  • README.md
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  • config.json
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  • model.safetensors
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  • sentencepiece.bpe.model
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  • special_tokens_map.json
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  • tokenizer.json
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  • tokenizer_config.json
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