Download train/src/train.py from yuhos16/SkinGPT-R1: direct link, hf CLI and curl.
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- Download file 1.42 kB
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https://huggingface.co/yuhos16/SkinGPT-R1/resolve/main/train/src/train.py
- Command line
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hf download hf://yuhos16/SkinGPT-R1/train/src/train.py
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curl -L -o train.py https://huggingface.co/yuhos16/SkinGPT-R1/resolve/main/train/src/train.py
1.42 kB
| # Copyright 2025 the LlamaFactory team. | |
| # ... (License header kept as is) | |
| import os | |
| import sys | |
| from omegaconf import OmegaConf | |
| sys.path.append(os.path.dirname(os.path.abspath(__file__))) | |
| from llamafactory.train.tuner import run_exp | |
| def main(): | |
| cfg_path = None | |
| remaining_argv = [] | |
| i = 1 | |
| while i < len(sys.argv): | |
| arg = sys.argv[i] | |
| if arg in ("--cfg", "--config") and i + 1 < len(sys.argv): | |
| cfg_path = sys.argv[i + 1] | |
| i += 2 | |
| else: | |
| remaining_argv.append(arg) | |
| i += 1 | |
| if cfg_path is None: | |
| print("⚠️ No --cfg provided, assuming standard CLI usage.") | |
| run_exp() | |
| return | |
| print(f"✅ Loading config from: {cfg_path}") | |
| cfg = OmegaConf.load(cfg_path) | |
| flat_args = [] | |
| for key, value in cfg.items(): | |
| if value is None: | |
| continue | |
| if isinstance(value, (list, tuple)): | |
| value = ",".join(map(str, value)) | |
| if isinstance(value, bool): | |
| value = str(value) | |
| flat_args.append(f"--{key}={value}") | |
| print(f"✅ Injected {len(flat_args)} args from config.") | |
| sys.argv = [sys.argv[0]] + flat_args + remaining_argv | |
| print(f"🚀 Launching with sys.argv constructed.") | |
| run_exp() | |
| if __name__ == "__main__": | |
| main() |