Instructions to use JuyeopDang/Qwen-3-14B-Sentence-Ordering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JuyeopDang/Qwen-3-14B-Sentence-Ordering with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("JuyeopDang/Qwen-3-14B-Sentence-Ordering", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Unsloth Studio new
How to use JuyeopDang/Qwen-3-14B-Sentence-Ordering with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for JuyeopDang/Qwen-3-14B-Sentence-Ordering to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for JuyeopDang/Qwen-3-14B-Sentence-Ordering to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for JuyeopDang/Qwen-3-14B-Sentence-Ordering to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="JuyeopDang/Qwen-3-14B-Sentence-Ordering", max_seq_length=2048, )
๋ฌด์์๋ก ์์ธ ๋ค ๊ฐ์ ํ๊ตญ์ด ๋ฌธ์ฅ์ ์์๋ฅผ ์์ธกํ๋ ์ธ์ด ๋ชจ๋ธ์ ๋๋ค. ์์ธํ ๋ด์ฉ์ ์๋ ํ์ด์ง๋ฅผ ์ฐธ๊ณ ํด ์ฃผ์ธ์.
- ๋ํ ํ์ด์ง: https://dacon.io/competitions/official/236489/overview/description
- ์ฝ๋ ๊ณต์ ํ์ด์ง: https://dacon.io/competitions/official/236489/codeshare/12519?page=1&dtype=recent
- ๊นํ๋ธ ์ ์ฅ์: https://github.com/Won-Seong/kor-sentence-ordering
Inference Providers NEW
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