🎨 cleanup and add a couple comments

timm/models/hub.py

@@ -7,14 +7,12 @@ from typing import Union
 
 import torch
 from torch.hub import HASH_REGEX, download_url_to_file, urlparse, load_state_dict_from_url
-
 try:
     from torch.hub import get_dir
 except ImportError:
     from torch.hub import _get_torch_home as get_dir
 
 from timm import __version__
-
 try:
     from huggingface_hub import HfApi, HfFolder, Repository, cached_download, hf_hub_url
     cached_download = partial(cached_download, library_name="timm", library_version=__version__)
@@ -158,14 +156,15 @@ def push_to_hf_hub(
         revision=revision,
     )
 
+    # Prepare a default model card that includes the necessary tags to enable inference.
+    readme_text = f'---\ntags:\n- image-classification\n- timm\nlibrary_tag: timm\n---\n# Model card for {repo_name}'
     with repo.commit(commit_message):
-        # Save model weights and config
+        # Save model weights and config.
         save_pretrained_for_hf(model, repo.local_dir, **config_kwargs)
 
-        # Save a model card if it doesn't exist, enabling inference.
+        # Save a model card if it doesn't exist.
         readme_path = Path(repo.local_dir) / 'README.md'
-        readme_txt = f'---\ntags:\n- image-classification\n- timm\nlibrary_tag: timm\n---\n# Model card for {repo_name}'
         if not readme_path.exists():
-            readme_path.write_text(readme_txt)
+            readme_path.write_text(readme_text)
 
     return repo.git_remote_url()