upload

get_hf_file_to_local.py

@@ -0,0 +1,60 @@
+import logging
+import os
+import argparse
+from pathlib import Path
+from huggingface_hub import snapshot_download
+
+
+def get_args():
+    parser = argparse.ArgumentParser()
+    normalized_filepath = lambda filepath: str(Path(filepath).absolute().as_posix())
+
+    parser.add_argument("--hf-token", type = str, default = None, help = "huggingFace Token")
+    parser.add_argument("--repo", type = str, default = None, help = "仓库的名称")
+    parser.add_argument("--repo-type", type = str, default = None, help = "HuggingFace 仓库的种类, 如: model, dataset")
+    parser.add_argument("--upload-path", type = normalized_filepath, default = None, help = "本地要上传文件的路径")
+
+    return parser.parse_args()
+
+
+def main():
+    args = get_args()
+
+    if args.hf_token is None:
+        logging.error("缺失 HF Token")
+        return
+    else:
+        hf_token = args.hf_token
+
+    if args.repo is None:
+        logging.error("未填写仓库名称")
+        return
+    else:
+        repo = args.repo
+
+    if args.repo_type is None:
+        logging.error("缺少仓库种类")
+        return
+    else:
+        repo_type = args.repo_type
+    
+    if args.upload_path is None:
+        root_path = Path(os.path.abspath(__file__)).parent.as_posix()
+    else:
+        root_path = args.upload_path
+
+    logging.warning(f"repo: {repo}")
+    logging.warning(f"repo_type: {repo_type}")
+    logging.warning(f"root_path: {root_path}")
+    logging.warning(f"拉取 {repo} 中的内容到本地中")
+    snapshot_download(
+        repo_id = repo,
+        repo_type = repo_type,
+        local_dir = root_path,
+        token = hf_token,
+        local_dir_use_symlinks = False
+    )
+    logging.warning("拉取文件完成")
+
+
+main()