Update to support huggingface-hub 1.3.5 (#2036)

- Update huggingface-hub dependency to support versions up to 2.0.0
- Migrate from deprecated Repository class to HfApi.upload_folder()
- Remove deprecated get_token_permission and write_permission parameters
- Use HTTP-based upload instead of git-based workflow

Co-authored-by: Claude Sonnet 4.5 <noreply@anthropic.com>

Author: nik875

doctr/models/factory/hub.py

@@ -9,16 +9,15 @@
 import logging
 import os
 import subprocess
+import tempfile
 import textwrap
 from pathlib import Path
 from typing import Any
 
 import torch
 from huggingface_hub import (
     HfApi,
-    Repository,
     get_token,
-    get_token_permission,
     hf_hub_download,
     login,
 )
@@ -38,9 +37,9 @@
 def login_to_hub() -> None:  # pragma: no cover
     """Login to huggingface hub"""
     access_token = get_token()
-    if access_token is not None and get_token_permission(access_token):
+    if access_token is not None:
         logging.info("Huggingface Hub token found and valid")
-        login(token=access_token, write_permission=True)
+        login(token=access_token)
     else:
         login()
     # check if git lfs is installed
@@ -161,16 +160,23 @@ def push_to_hf_hub(model: Any, model_name: str, task: str, **kwargs) -> None:  #
 
     commit_message = f"Add {model_name} model"
 
-    local_cache_dir = os.path.join(os.path.expanduser("~"), ".cache", "huggingface", "hub", model_name)
-    repo_url = HfApi().create_repo(model_name, token=get_token(), exist_ok=False)
-    repo = Repository(local_dir=local_cache_dir, clone_from=repo_url)
+    # Create repository
+    api = HfApi()
+    api.create_repo(model_name, token=get_token(), exist_ok=False)
 
-    with repo.commit(commit_message):
-        _save_model_and_config_for_hf_hub(model, repo.local_dir, arch=arch, task=task)
-        readme_path = Path(repo.local_dir) / "README.md"
+    # Save model files to a temporary directory
+    with tempfile.TemporaryDirectory() as tmp_dir:
+        _save_model_and_config_for_hf_hub(model, tmp_dir, arch=arch, task=task)
+        readme_path = Path(tmp_dir) / "README.md"
         readme_path.write_text(readme)
 
-    repo.git_push()
+        # Upload all files to the hub
+        api.upload_folder(
+            folder_path=tmp_dir,
+            repo_id=model_name,
+            commit_message=commit_message,
+            token=get_token(),
+        )
 
 
 def from_hub(repo_id: str, **kwargs: Any):

pyproject.toml

@@ -46,7 +46,7 @@ dependencies = [
     "shapely>=1.6.0,<3.0.0",
     "langdetect>=1.0.9,<2.0.0",
     "rapidfuzz>=3.0.0,<4.0.0",
-    "huggingface-hub>=0.20.0,<1.0.0",
+    "huggingface-hub>=0.20.0,<2.0.0",
     "Pillow>=9.2.0",
     "defusedxml>=0.7.0",
     "anyascii>=0.3.2",