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Delicia
/
newModelClassification

Text Classification
Transformers
Safetensors
xlm-roberta
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use Delicia/newModelClassification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Delicia/newModelClassification")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Delicia/newModelClassification")
    model = AutoModelForSequenceClassification.from_pretrained("Delicia/newModelClassification")
  • Notebooks
  • Google Colab
  • Kaggle
newModelClassification
2.24 GB
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  • 1 contributor
History: 3 commits
Delicia's picture
Delicia
Upload tokenizer
8200c43 over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • config.json
    1.36 kB
    Upload XLMRobertaForSequenceClassification over 2 years ago
  • model.safetensors
    2.24 GB
    xet
    Upload XLMRobertaForSequenceClassification over 2 years ago
  • sentencepiece.bpe.model
    5.07 MB
    xet
    Upload tokenizer over 2 years ago
  • special_tokens_map.json
    964 Bytes
    Upload tokenizer over 2 years ago
  • tokenizer_config.json
    1.22 kB
    Upload tokenizer over 2 years ago