Download kaggle/notebook_radio.py from idefinity/webfm-eval: direct link, hf CLI and curl.
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- Download file 1.08 kB
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https://huggingface.co/datasets/idefinity/webfm-eval/resolve/main/kaggle/notebook_radio.py
- Command line
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hf download hf://datasets/idefinity/webfm-eval/kaggle/notebook_radio.py
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curl -L -o notebook_radio.py https://huggingface.co/datasets/idefinity/webfm-eval/resolve/main/kaggle/notebook_radio.py
1.08 kB
| """Kaggle notebook body: end-to-end radio segment (LLM script -> Ming speech).""" | |
| import os | |
| import subprocess | |
| import sys | |
| from notebook_eval import BUNDLE, MODEL, ROOT, WEIGHTS, pull, stage_deps, stage_repo | |
| BUNDLE_REPO = "idefinity/webfm-eval" | |
| def main() -> None: | |
| stage_repo() | |
| stage_deps() | |
| pull(WEIGHTS, MODEL) | |
| pull(BUNDLE_REPO, BUNDLE, repo_type="dataset") | |
| if not (BUNDLE / "student4_rc.pt").exists(): | |
| raise SystemExit("student4_rc.pt missing from the bundle") | |
| # A truncated transfer looks like a present file and fails later inside | |
| # torch.load, so check the byte count the run recorded. | |
| expected = 206273737 | |
| got = (BUNDLE / "student4_rc.pt").stat().st_size | |
| if got != expected: | |
| raise SystemExit(f"student4_rc.pt is {got} bytes, expected {expected}") | |
| env = dict(os.environ, WORK_ROOT=str(ROOT), CUDA_VISIBLE_DEVICES="0") | |
| rc = subprocess.run([sys.executable, str(BUNDLE / "kaggle/radio_demo.py")], | |
| env=env).returncode | |
| print("radio rc", rc) | |
| if __name__ == "__main__": | |
| main() | |