chore: clean some workflows

.github/workflows/sync-hf-to-ms.yaml

-name: Synchronize HuggingFace Repos to ModelScope
-on:
-  schedule:
-    - cron: '0 3 * * *' # Run every day at 03:00 UTC
-  repository_dispatch:
-    types: [sync-hf-to-ms]
-jobs:
-  sync:
-    runs-on: ubuntu-latest
-    if: github.repository == 'nunchaku-tech/nunchaku' && (github.event_name != 'repository_dispatch' || github.actor == 'lmxyy')
-    strategy:
-      matrix:
-        repo:
-          - nunchaku
-          - nunchaku-t5
-          - nunchaku-flux.1-schnell
-          - nunchaku-flux.1-dev
-          - nunchaku-flux.1-fill-dev
-          - nunchaku-flux.1-depth-dev
-          - nunchaku-flux.1-canny-dev
-          - nunchaku-shuttle-jaguar
-          - nunchaku-sana
-          - nunchaku-flux.1-kontext-dev
-          - nunchaku-flux.1-schnell-pix2pix-turbo
-    steps:
-      - name: Checkout repository
-        uses: actions/checkout@v4
-      - name: Set up Python
-        uses: actions/setup-python@v5
-        with:
-          python-version: '3.12'
-      - name: Install dependencies
-        run: |
-          python -m pip install --upgrade pip
-          pip install huggingface_hub modelscope hf_xet
-      - name: Sync HF Repo ${{ matrix.repo }}
-        run: |
-          cd scripts
-          HF_TOKEN=${{ secrets.HF_TOKEN }} MODELSCOPE_TOKEN=${{ secrets.MODELSCOPE_TOKEN }} python sync_hf_to_ms.py --repo ${{ matrix.repo }}

scripts/sync_hf_to_ms.py

-import argparse
-import os
-
-from huggingface_hub import snapshot_download
-from modelscope.hub.api import HubApi
-from modelscope.hub.constants import Licenses, ModelVisibility
-
-
-def sync_model(repo_name: str, hf_repo: str, ms_repo: str):
-    print(f"\n🔄 Syncing {hf_repo} -> {ms_repo}")
-
-    # Login to ModelScope
-    MODELSCOPE_TOKEN = os.getenv("MODELSCOPE_TOKEN")
-    assert MODELSCOPE_TOKEN, "Please set the MODELSCOPE_TOKEN environment variable or hardcode the token."
-
-    api = HubApi()
-    api.login(MODELSCOPE_TOKEN)
-
-    # Download the model snapshot from Hugging Face
-    local_dir = snapshot_download(repo_id=hf_repo, cache_dir=repo_name, local_dir=repo_name)
-    print(f"📥 Downloaded to: {local_dir}")
-
-    # Check if the ModelScope repo already exists
-    exists = False
-    try:
-        api.get_model(ms_repo)
-        exists = True
-        print(f"✅ Model already exists on ModelScope: {ms_repo}")
-    except Exception:
-        print(f"ℹ️ Model not found on ModelScope: {ms_repo}, creating...")
-
-    # Create repo if it doesn't exist
-    if not exists:
-        api.create_model(
-            model_id=ms_repo,
-            visibility=ModelVisibility.PUBLIC,  # Change to "Private" if needed
-            license=Licenses.APACHE_V2,
-        )
-        print(f"✅ Created ModelScope repo: {ms_repo}")
-
-    # Upload model files to ModelScope
-    print(f"⏫ Uploading to ModelScope...")
-    # api.upload_model(model_dir=local_dir, model_id=ms_repo)
-    api.upload_folder(
-        repo_id=ms_repo,
-        folder_path=local_dir,
-        commit_message=f"Sync from Hugging Face {hf_repo}",
-        ignore_patterns=["*nunchaku-tech*", "README.md"],
-    )
-    print(f"✅ Sync complete: {hf_repo} -> {ms_repo}")
-
-
-if __name__ == "__main__":
-    parser = argparse.ArgumentParser()
-    parser.add_argument(
-        "-n",
-        "--repo-name",
-        type=str,
-        required=True,
-        help="Name of the HuggingFace repository under nunchaku-tech to sync to (e.g., `nunchaku`)",
-    )
-    args = parser.parse_args()
-    sync_model(args.repo_name, f"nunchaku-tech/{args.repo_name}", f"nunchaku-tech/{args.repo_name}")