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canbingol
/
laya-typed-decisions-turkish-mmlu-10k

Transformers
Safetensors
Laya
system-one
calibrated-decisions
rlcd
structured-decisions
typed-decisions
benchmark
turkish
mmlu
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use canbingol/laya-typed-decisions-turkish-mmlu-10k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use canbingol/laya-typed-decisions-turkish-mmlu-10k with Transformers:

    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("canbingol/laya-typed-decisions-turkish-mmlu-10k", device_map="auto")
  • Laya

    How to use canbingol/laya-typed-decisions-turkish-mmlu-10k with Laya:

    # No code snippets available yet for this library.
    
    # To use this model, check the repository files and the library's documentation.
    
    # Want to help? PRs adding snippets are welcome at:
    # https://github.com/huggingface/huggingface.js
  • Notebooks
  • Google Colab
  • Kaggle
laya-typed-decisions-turkish-mmlu-10k / checkpoint_latest
846 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
canbingol's picture
canbingol
Laya fine-tuned on typed-decisions: Accuracy 0.365 vs Jev 0.727 / Ceiling 0.735
f562922 verified 11 days ago
  • encoder
    Laya fine-tuned on typed-decisions: Accuracy 0.365 vs Jev 0.727 / Ceiling 0.735 11 days ago
  • tokenizer
    Laya fine-tuned on typed-decisions: Accuracy 0.365 vs Jev 0.727 / Ceiling 0.735 11 days ago
  • checkpoint_meta.json
    71 Bytes
    Laya fine-tuned on typed-decisions: Accuracy 0.365 vs Jev 0.727 / Ceiling 0.735 11 days ago
  • model.safetensors
    843 MB
    xet
    Laya fine-tuned on typed-decisions: Accuracy 0.365 vs Jev 0.727 / Ceiling 0.735 11 days ago