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soyrsoyr
/
jev-playground-rlcd

Text Classification
Transformers
Safetensors
English
calibration
zero-shot-classification
system-one
Synthetic
rlcd
Model card Files Files and versions
xet
Community

Instructions to use soyrsoyr/jev-playground-rlcd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use soyrsoyr/jev-playground-rlcd with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="soyrsoyr/jev-playground-rlcd")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("soyrsoyr/jev-playground-rlcd", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
jev-playground-rlcd
5.58 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 14 commits
soyrsoyr's picture
soyrsoyr
Model card: remove em dashes
64db5b1 verified 30 days ago
  • deberta-large-7domain
    deberta-v3-large: 7-domain union run, 2 epochs, val ECE 0.0117, zero cross-domain generalization documented about 1 month ago
  • deberta-large-v2-16domain
    deberta-v3-large v2: 16-domain union run on RTX 3090, val ECE 0.0090, transfer scaling documented 30 days ago
  • deberta-large
    deberta-v3-large run: 2 epochs on RX 7900 XT, val ECE 0.0139 about 1 month ago
  • distilroberta
    Move distilroberta checkpoint under distilroberta/ about 1 month ago
  • .gitattributes
    1.52 kB
    initial commit about 1 month ago
  • README.md
    4.24 kB
    Model card: remove em dashes 30 days ago