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NiklasKoch
/
modernbert-discussion-classifier

Text Classification
PEFT
Safetensors
Transformers
English
reddit
conversation-analysis
constructive-dialogue
modernbert
lora
lightweight
high-throughput
Model card Files Files and versions
xet
Community

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

  • Libraries
  • PEFT

    How to use NiklasKoch/modernbert-discussion-classifier with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForSequenceClassification
    
    base_model = AutoModelForSequenceClassification.from_pretrained("answerdotai/ModernBERT-base")
    model = PeftModel.from_pretrained(base_model, "NiklasKoch/modernbert-discussion-classifier")
  • Transformers

    How to use NiklasKoch/modernbert-discussion-classifier with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="NiklasKoch/modernbert-discussion-classifier")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("NiklasKoch/modernbert-discussion-classifier", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
modernbert-discussion-classifier
13.7 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
NiklasKoch's picture
NiklasKoch
Update README.md
0d71082 verified 8 months ago
  • .gitattributes
    1.52 kB
    initial commit 8 months ago
  • README.md
    5.26 kB
    Update README.md 8 months ago
  • adapter_config.json
    989 Bytes
    Upload folder using huggingface_hub 8 months ago
  • adapter_model.safetensors
    13.6 MB
    xet
    Upload folder using huggingface_hub 8 months ago