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mrm8488
/
ModernBERT-base-ft-all-nli

Text Classification
Transformers
TensorBoard
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use mrm8488/ModernBERT-base-ft-all-nli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use mrm8488/ModernBERT-base-ft-all-nli with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="mrm8488/ModernBERT-base-ft-all-nli")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("mrm8488/ModernBERT-base-ft-all-nli")
    model = AutoModelForSequenceClassification.from_pretrained("mrm8488/ModernBERT-base-ft-all-nli")
  • Notebooks
  • Google Colab
  • Kaggle
ModernBERT-base-ft-all-nli
602 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
mrm8488's picture
mrm8488
End of training
159d096 verified over 1 year ago
  • runs
    End of training over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    1.72 kB
    End of training over 1 year ago
  • config.json
    1.51 kB
    Training in progress, epoch 1 over 1 year ago
  • model.safetensors
    598 MB
    xet
    End of training over 1 year ago
  • special_tokens_map.json
    694 Bytes
    Training in progress, epoch 1 over 1 year ago
  • tokenizer.json
    3.58 MB
    Training in progress, epoch 1 over 1 year ago
  • tokenizer_config.json
    20.9 kB
    Training in progress, epoch 1 over 1 year ago
  • training_args.bin
    5.37 kB
    xet
    Training in progress, epoch 1 over 1 year ago