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
| { | |
| "model_type": "jnu_tsb", | |
| "architectures": [ | |
| "JNUTSBModel" | |
| ], | |
| "repo_id": "HONGRIZON/JNU-TSB", | |
| "project_name": "JNU-TSB", | |
| "project_full_name": "Jeju National University Time-Series Bridge", | |
| "description": "한국어 뉴스 기반 공변량 추출과 Chronos-2 시계열 예측을 연결하는 교육용 Time-LLM-style router.", | |
| "chronos_model_id": "amazon/chronos-2", | |
| "llm_model_id": "EleutherAI/polyglot-ko-1.3b", | |
| "timestamp_column": "timestamp", | |
| "target_column": "target", | |
| "id_column": "item_id", | |
| "default_item_id": "series_0", | |
| "prediction_length": 5, | |
| "quantile_levels": [ | |
| 0.1, | |
| 0.5, | |
| 0.9 | |
| ], | |
| "event_categories": [ | |
| "earnings", | |
| "product", | |
| "macro", | |
| "regulation", | |
| "supply_chain", | |
| "competition", | |
| "other" | |
| ], | |
| "covariate_columns": [ | |
| "cov_earnings_count", | |
| "cov_product_count", | |
| "cov_macro_count", | |
| "cov_regulation_count", | |
| "cov_supply_chain_count", | |
| "cov_competition_count", | |
| "cov_other_count", | |
| "cov_sentiment_pos_count", | |
| "cov_sentiment_neg_count", | |
| "cov_sentiment_neu_count", | |
| "cov_news_count", | |
| "cov_sentiment_mean", | |
| "cov_confidence_mean", | |
| "cov_event_score" | |
| ], | |
| "use_llm_extractor": true, | |
| "allow_naive_fallback": true, | |
| "auto_map": { | |
| "AutoConfig": "configuration_jnu_tsb.JNUTSBConfig", | |
| "AutoModel": "modeling_jnu_tsb.JNUTSBModel" | |
| }, | |
| "custom_pipelines": { | |
| "jnu-tsb": { | |
| "impl": "pipeline.JNUTSBPipeline", | |
| "pt": [ | |
| "AutoModel" | |
| ], | |
| "type": "multimodal" | |
| } | |
| } | |
| } | |