Download hyperparameter/m4/tabdiff/tabdiff-m4-20260504_200544/_tabdiff_train.py from TabQueryBench2026/server: direct link, hf CLI and curl.
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- Download file 862 Bytes
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https://huggingface.co/datasets/TabQueryBench2026/server/resolve/ca76c0e89cc731ece8a2144dae0ab5783468e6c2/hyperparameter/m4/tabdiff/tabdiff-m4-20260504_200544/_tabdiff_train.py
- Command line
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hf download hf://datasets/TabQueryBench2026/server@ca76c0e89cc731ece8a2144dae0ab5783468e6c2/hyperparameter/m4/tabdiff/tabdiff-m4-20260504_200544/_tabdiff_train.py
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curl -L -o _tabdiff_train.py https://huggingface.co/datasets/TabQueryBench2026/server/resolve/ca76c0e89cc731ece8a2144dae0ab5783468e6c2/hyperparameter/m4/tabdiff/tabdiff-m4-20260504_200544/_tabdiff_train.py
862 Bytes
| import os, shutil, subprocess, sys | |
| td = r"/workspace/TabDiff" | |
| name = r"pipeline_m4" | |
| src = r"/work/output-Benchmark-trainonly-v1/m4/tabdiff/tabdiff-m4-20260504_200544/tabular_bundle/pipeline_m4" | |
| dst_data = os.path.join(td, "data", name) | |
| dst_syn = os.path.join(td, "synthetic", name) | |
| shutil.rmtree(dst_data, ignore_errors=True) | |
| shutil.copytree(src, dst_data) | |
| os.makedirs(dst_syn, exist_ok=True) | |
| for fn in ("real.csv", "test.csv", "val.csv"): | |
| shutil.copy(os.path.join(src, fn), os.path.join(dst_syn, fn)) | |
| os.chdir(td) | |
| os.environ["PYTHONPATH"] = td + os.pathsep + os.environ.get("PYTHONPATH", "") | |
| os.environ["TABDIFF_SMOKE_STEPS"] = "800" | |
| os.environ["TABDIFF_ADAPTER_TRAIN"] = "1" | |
| subprocess.check_call([ | |
| sys.executable, "-m", "tabdiff.main", | |
| "--dataname", name, "--mode", "train", "--gpu", "0", | |
| "--no_wandb", "--exp_name", r"adapter_learnable", | |
| ]) | |