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thesimonharms
/
mclass

Text Classification
Transformers
ONNX
Safetensors
English
coding-preferences
Model card Files Files and versions
xet
Community

Instructions to use thesimonharms/mclass with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use thesimonharms/mclass with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="thesimonharms/mclass")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("thesimonharms/mclass", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
mclass
184 MB
Ctrl+K
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  • 1 contributor
History: 3 commits
thesimonharms's picture
thesimonharms
Upload folder using huggingface_hub
38dc332 verified 12 days ago
  • encoder
    Upload folder using huggingface_hub 12 days ago
  • .gitattributes
    1.52 kB
    initial commit 26 days ago
  • LICENSE
    1.07 kB
    Add MiniLM preference classifier weights, ONNX, and model card. 26 days ago
  • README.md
    2.55 kB
    Add MiniLM preference classifier weights, ONNX, and model card. 26 days ago
  • eval.json
    1.03 kB
    Upload folder using huggingface_hub 12 days ago
  • heads.pt
    1.21 MB
    xet
    Upload folder using huggingface_hub 12 days ago
  • mclass.json
    447 Bytes
    Upload folder using huggingface_hub 12 days ago
  • model.onnx
    91.6 MB
    xet
    Upload folder using huggingface_hub 12 days ago
  • temperature.json
    25 Bytes
    Upload folder using huggingface_hub 12 days ago