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NansK13
/
deberta-sent-multi

Text Classification
Transformers
TensorBoard
Safetensors
French
English
German
deberta-v2
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use NansK13/deberta-sent-multi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use NansK13/deberta-sent-multi with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="NansK13/deberta-sent-multi")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("NansK13/deberta-sent-multi")
    model = AutoModelForSequenceClassification.from_pretrained("NansK13/deberta-sent-multi", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
deberta-sent-multi / runs
53.2 kB
Ctrl+K
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  • 1 contributor
History: 65 commits
NansK13's picture
NansK13
Upload folder using huggingface_hub
7fa7c56 verified about 2 years ago
  • Jun06_00-39-21_r-nansk13-bert-auto-sent-multi-6iitkada-8a0be-1lk3n
    Upload folder using huggingface_hub about 2 years ago