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jnwulff
/
modernbert-clinc

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

Instructions to use jnwulff/modernbert-clinc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use jnwulff/modernbert-clinc with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="jnwulff/modernbert-clinc")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("jnwulff/modernbert-clinc")
    model = AutoModelForSequenceClassification.from_pretrained("jnwulff/modernbert-clinc", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
modernbert-clinc
1.59 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
jnwulff's picture
jnwulff
End of training
77bf4a5 verified about 1 year ago
  • runs
    Training in progress, step 500 about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    1.83 kB
    End of training about 1 year ago
  • config.json
    7.83 kB
    Training in progress, step 500 about 1 year ago
  • model.safetensors
    1.58 GB
    xet
    Training in progress, step 1565 about 1 year ago
  • special_tokens_map.json
    694 Bytes
    Training in progress, step 500 about 1 year ago
  • tokenizer.json
    3.58 MB
    Training in progress, step 500 about 1 year ago
  • tokenizer_config.json
    20.8 kB
    Training in progress, step 500 about 1 year ago
  • training_args.bin
    5.71 kB
    xet
    Training in progress, step 500 about 1 year ago