Text Classification
Transformers
Safetensors
Chinese
English
mugi_decision
feature-extraction
qwen3_5
custom-code
decision-making
multiple-choice
reranking
rocm
multimodal
image-classification
custom_code
Instructions to use ilovemugi/mugi-decision with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ilovemugi/mugi-decision with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ilovemugi/mugi-decision", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ilovemugi/mugi-decision", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
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