Zero-Shot Classification
Transformers
Safetensors
Korean
English
qwen3_5_text
text-generation
decision-model
korean
structured-decision
calibrated-probabilities
typed-decisions
system-one
Eval Results (legacy)
Instructions to use ONYULTEA/K-Decision-9B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ONYULTEA/K-Decision-9B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="ONYULTEA/K-Decision-9B")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("ONYULTEA/K-Decision-9B") model = AutoModelForCausalLM.from_pretrained("ONYULTEA/K-Decision-9B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
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