Time Series Forecasting
Transformers
PyTorch
Korean
jnu_tsb
feature-extraction
jnu-tsb
time-series
forecasting
chronos-2
polyglot-ko
korean
finance
covariates
r
reticulate
education
custom_code
Instructions to use HONGRIZON/JNU-TSB with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HONGRIZON/JNU-TSB with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("HONGRIZON/JNU-TSB", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
| JNU-TSB | |
| ์ด ์ ์ฅ์๋ ๊ต์ก ๋ฐ ์ฐ๊ตฌ์ฉ wrapper ์ฝ๋๋ฅผ ํฌํจํฉ๋๋ค. | |
| ๋ค์ Hugging Face upstream model์ ์ฐธ์กฐํ์ง๋ง, ํด๋น ๋ชจ๋ธ ๊ฐ์ค์น๋ฅผ ์ฌ๋ฐฐํฌํ์ง ์์ต๋๋ค. | |
| - amazon/chronos-2 | |
| - EleutherAI/polyglot-ko-1.3b | |
| JNU-TSB๋ Amazon, EleutherAI, Hugging Face์ ๊ณต์์ ์ผ๋ก ์ ํด๋ ํ๋ก์ ํธ๊ฐ ์๋๋๋ค. | |