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
File size: 348 Bytes
cf02581 | 1 2 3 4 5 6 7 8 9 10 | 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.
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