Feature Extraction
Transformers
Safetensors
Korean
sysone
decision-model
classification
router
korean
custom_code
Instructions to use leapshared/nari-router-4b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use leapshared/nari-router-4b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="leapshared/nari-router-4b", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("leapshared/nari-router-4b", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
16์ ๋ค์ ํ์ต: ๋ฑ๋ง ์๋ ๋ฉ์ถค ยท ๋๋ผ๊น์ ๋ต ๋ง๋ถ์ ์๋ฃ(ํ์ต 6,597 ยท ๊ฒ์ฆ 856), ์จ์ 2 ยท 3์ํฌํฌ ยท lm_weight 0.0 ยท ์จ๋ 2.01, 2 GB ์กฐ๊ฐ(์ ์ฅ์ routing.md 16์ )
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