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GeneLab
/
sokudan-ja-310m

Text Classification
Transformers
Safetensors
Japanese
sokudan
japanese
system-one
calibrated-decisions
classification
routing
ordinal
model-soup
Model card Files Files and versions
xet
Community

Instructions to use GeneLab/sokudan-ja-310m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use GeneLab/sokudan-ja-310m with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="GeneLab/sokudan-ja-310m")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("GeneLab/sokudan-ja-310m", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
sokudan-ja-310m
1.27 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 9 commits
GeneLab's picture
GeneLab
card: sokudan 0.3.0 (MLX, Python 3.11-3.13, catch-all limits, bench license wording)
3e3409b verified 10 days ago
  • .gitattributes
    1.52 kB
    initial commit 18 days ago
  • README.md
    25 kB
    card: sokudan 0.3.0 (MLX, Python 3.11-3.13, catch-all limits, bench license wording) 10 days ago
  • calibration.json
    253 Bytes
    v0.2.1: bool calibration (calibration.json, bool/2 only) and model card; weights unchanged 11 days ago
  • config.json
    1.92 kB
    v0.2: model soup of v0.1 seeds 0-7 (v0.1 stays as revision v0.1) 13 days ago
  • model.safetensors
    1.26 GB
    xet
    v0.2: model soup of v0.1 seeds 0-7 (v0.1 stays as revision v0.1) 13 days ago
  • temperatures.json
    7.04 kB
    v0.2: model soup of v0.1 seeds 0-7 (v0.1 stays as revision v0.1) 13 days ago
  • tokenizer.json
    6.72 MB
    sokudan-ja-310m v0.1 (3 seeds) 18 days ago
  • tokenizer_config.json
    693 Bytes
    sokudan-ja-310m v0.1 (3 seeds) 18 days ago