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pilotj
/
distil-bert-tweaking

Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use pilotj/distil-bert-tweaking with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use pilotj/distil-bert-tweaking with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="pilotj/distil-bert-tweaking")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("pilotj/distil-bert-tweaking")
    model = AutoModelForSequenceClassification.from_pretrained("pilotj/distil-bert-tweaking")
  • Notebooks
  • Google Colab
  • Kaggle
distil-bert-tweaking / runs
57.2 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 14 commits
pilotj's picture
pilotj
Training in progress, step 5250
ad84e51 verified over 1 year ago
  • Sep28_06-24-12_7b554403b730
    Training in progress, step 500 over 1 year ago
  • Sep28_09-12-42_7b554403b730
    Training in progress, step 500 over 1 year ago
  • Sep28_09-13-17_7b554403b730
    Training in progress, step 500 over 1 year ago
  • Sep28_10-37-54_7b554403b730
    Training in progress, step 500 over 1 year ago
  • Sep28_10-39-30_7b554403b730
    Training in progress, step 1500 over 1 year ago
  • Sep28_11-20-55_7b554403b730
    Training in progress, step 5250 over 1 year ago