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NiklasKoch
/
qwen-discussion-classifier

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

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

  • Libraries
  • PEFT

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

    from peft import PeftModel
    from transformers import AutoModelForSequenceClassification
    
    base_model = AutoModelForSequenceClassification.from_pretrained("Qwen/Qwen3-Embedding-0.6B")
    model = PeftModel.from_pretrained(base_model, "NiklasKoch/qwen-discussion-classifier")
  • Transformers

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

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="NiklasKoch/qwen-discussion-classifier")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("NiklasKoch/qwen-discussion-classifier", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
qwen-discussion-classifier
40.4 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
NiklasKoch's picture
NiklasKoch
Update README.md
b7d11e2 verified 10 months ago
  • .gitattributes
    1.52 kB
    initial commit 10 months ago
  • README.md
    5.25 kB
    Update README.md 10 months ago
  • adapter_config.json
    1.04 kB
    Upload folder using huggingface_hub 10 months ago
  • adapter_model.safetensors
    40.4 MB
    xet
    Upload folder using huggingface_hub 10 months ago