Text Classification
Transformers
Safetensors
English
qwen3_5_text
text-generation
decision-model
system-one
typed-decisions
calibrated
decider
Instructions to use mlboydaisuke/decider-2b-coreai-ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mlboydaisuke/decider-2b-coreai-ft with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mlboydaisuke/decider-2b-coreai-ft")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("mlboydaisuke/decider-2b-coreai-ft") model = AutoModelForCausalLM.from_pretrained("mlboydaisuke/decider-2b-coreai-ft", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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v3: decider-2b v11 + 6,362 verified typed-decision items incl. 543 long documents (delta recipe, 3 epochs, lr 8e-6); card numbers from the 2026-09-26 run
Verified signature284dfd3
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v2: decider-2b v11 + 5,819 verified typed-decision items (delta recipe, 3 epochs, lr 8e-6); card and eval/ from the 2026-09-25 re-distillation run
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decider-2b v11 + 1,399 verified typed-decision items (delta recipe, 3 epochs, lr 8e-6)
Verified signature86616d8