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SiMajid
/
deberta_value

Text Classification
Transformers
TensorBoard
Safetensors
deberta-v2
trl
reward-trainer
Generated from Trainer
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community

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

  • Libraries
  • Transformers

    How to use SiMajid/deberta_value with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="SiMajid/deberta_value")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("SiMajid/deberta_value")
    model = AutoModelForSequenceClassification.from_pretrained("SiMajid/deberta_value")
  • Notebooks
  • Google Colab
  • Kaggle
deberta_value / runs
32.7 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
SiMajid's picture
SiMajid
End of training
6780413 verified almost 2 years ago
  • Jun21_21-08-02_8e6212bc1b55
    End of training almost 2 years ago
  • Jun21_21-10-53_8e6212bc1b55
    End of training almost 2 years ago
  • Jun21_21-13-29_8e6212bc1b55
    End of training almost 2 years ago
  • Jun22_09-41-49_37299a5905a5
    End of training almost 2 years ago