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watiforall
/
deberta-v3-base-test

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

Instructions to use watiforall/deberta-v3-base-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use watiforall/deberta-v3-base-test with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="watiforall/deberta-v3-base-test")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("watiforall/deberta-v3-base-test")
    model = AutoModelForSequenceClassification.from_pretrained("watiforall/deberta-v3-base-test", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
deberta-v3-base-test / runs
13.3 kB
Ctrl+K
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  • 1 contributor
History: 8 commits
watiforall's picture
watiforall
Training in progress, epoch 4
bef36e7 verified over 2 years ago
  • Apr02_09-57-04_3826a6a9a423
    Training in progress, epoch 4 over 2 years ago
  • Apr02_10-16-54_d4daf5451636
    Training in progress, epoch 4 over 2 years ago