Download upload_processed_data.py from SharleyK/TourismPackagePrediction-GradientBoosting: direct link, hf CLI and curl.
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- Download file 467 Bytes
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https://huggingface.co/SharleyK/TourismPackagePrediction-GradientBoosting/resolve/main/upload_processed_data.py
- Command line
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hf download hf://SharleyK/TourismPackagePrediction-GradientBoosting/upload_processed_data.py
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curl -L -o upload_processed_data.py https://huggingface.co/SharleyK/TourismPackagePrediction-GradientBoosting/resolve/main/upload_processed_data.py
467 Bytes
| from huggingface_hub import HfApi | |
| import os | |
| repo_id = "SharleyK/TourismPackagePrediction" | |
| repo_type = "dataset" | |
| # Initialize API client | |
| api = HfApi(token=os.getenv("HF_TOKEN")) | |
| # Upload the processed data folder | |
| api.upload_folder( | |
| folder_path="tourism_project/data/model_building", | |
| repo_id=repo_id, | |
| repo_type=repo_type, | |
| path_in_repo="processed_data" | |
| ) | |
| print("Processed datasets uploaded to Hugging Face data space under 'processed_data' folder.") | |