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
Delete upload_model_repo.py
Browse files- upload_model_repo.py +0 -40
upload_model_repo.py
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from __future__ import annotations
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import argparse
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from huggingface_hub import HfApi, create_repo
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DEFAULT_REPO_ID = "HONGRIZON/JNU-TSB"
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def main() -> None:
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parser = argparse.ArgumentParser(description="Upload JNU-TSB to Hugging Face Hub.")
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parser.add_argument("--repo_id", default=DEFAULT_REPO_ID, help="Hugging Face repo id")
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parser.add_argument("--private", action="store_true", help="Create/upload as a private repo")
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parser.add_argument("--folder", default=".", help="Local folder to upload")
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args = parser.parse_args()
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create_repo(args.repo_id, repo_type="model", private=args.private, exist_ok=True)
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api = HfApi()
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api.upload_folder(
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folder_path=args.folder,
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repo_id=args.repo_id,
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repo_type="model",
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ignore_patterns=[
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".git/*",
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"__pycache__/*",
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"*.pyc",
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"*.zip",
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".venv/*",
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"venv/*",
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"env/*",
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"outputs/*",
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"checkpoints/*",
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"wandb/*",
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],
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)
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print(f"Uploaded to https://huggingface.co/{args.repo_id}")
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if __name__ == "__main__":
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main()
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