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| from huggingface_hub import HfApi | |
| # --- Configuration --- | |
| TOKEN = "" # Place your token here (starts with hf_) | |
| REPO_ID = "Keyvan1986/Emma-Classification_Model" # Exact repository ID of the model created | |
| # Note: Added raw string prefix (r) before the path | |
| LOCAL_FOLDER = r"C:\Users\keyva\MMPL_gpt\Classification Model\final_xlm_r_model_router" | |
| # Windows path example: "C:\\Users\\Keyvan\\Project\\final_xlm_r_model_router" | |
| # Or if the folder is in the current working directory: "./final_xlm_r_model_router" | |
| api = HfApi() | |
| print("🚀 Starting upload to Hugging Face...") | |
| # Uploads all contents of the local folder to the root of the repository | |
| api.upload_folder( | |
| folder_path=LOCAL_FOLDER, | |
| repo_id=REPO_ID, | |
| repo_type="model", | |
| token=TOKEN | |
| ) | |
| print("✅ Upload completed successfully!") | |