Fix offline loading for huggingface_hub >= 1.22

optimum/intel/openvino/modeling_base.py

@@ -617,6 +617,7 @@ def from_pretrained(
             _maybe_register_remote_code_model(model_id, revision=revision, token=token, cache_dir=cache_dir)
 
         _export = export
+        model_dir = model_id
         try:
             if local_files_only:
                 object_id = model_id.replace("/", "--")
@@ -625,8 +626,6 @@ def from_pretrained(
                 with open(refs_file) as f:
                     revision = f.read()
                 model_dir = os.path.join(cached_model_dir, "snapshots", revision)
-            else:
-                model_dir = model_id
 
             ov_files = _find_files_matching_pattern(
                 model_dir,
@@ -654,7 +653,7 @@ def from_pretrained(
             )
 
         return super().from_pretrained(
-            model_id,
+            model_dir,
             export=_export,
             force_download=force_download,
             token=token,

optimum/intel/openvino/modeling_open_clip.py

@@ -152,6 +152,7 @@ def from_pretrained(
             local_files_only = True
 
         _export = export
+        model_dir = model_id
         try:
             if local_files_only:
                 object_id = model_id.replace("/", "--")
@@ -160,8 +161,6 @@ def from_pretrained(
                 with open(refs_file) as f:
                     revision = f.read()
                 model_dir = os.path.join(cached_model_dir, "snapshots", revision)
-            else:
-                model_dir = model_id
 
             ov_files = _find_files_matching_pattern(
                 model_dir,
@@ -188,10 +187,10 @@ def from_pretrained(
                 f"Could not infer whether the model was already converted or not to the OpenVINO IR, keeping `export={export}`.\n{exception}"
             )
 
-        if isinstance(model_id, Path):
-            model_id = model_id.as_posix()
+        if isinstance(model_dir, Path):
+            model_dir = model_dir.as_posix()
 
-        config_path = config if isinstance(config, (str, os.PathLike)) else model_id
+        config_path = config if isinstance(config, (str, os.PathLike)) else model_dir
         config = cls._load_config(
             config_path,
             revision=revision,
@@ -205,7 +204,7 @@ def from_pretrained(
 
         from_pretrained_method = cls._export if _export else cls._from_pretrained
         return from_pretrained_method(
-            model_id=model_id,
+            model_id=model_dir,
             config=config,
             revision=revision,
             cache_dir=cache_dir,

optimum/intel/utils/modeling_utils.py

@@ -23,6 +23,7 @@
 import torch
 from huggingface_hub import HfApi, get_token, hf_hub_download
 from huggingface_hub.constants import HUGGINGFACE_HUB_CACHE
+from huggingface_hub.errors import OfflineModeIsEnabled
 from huggingface_hub.hf_api import file_exists
 from transformers import CLIPConfig, PretrainedConfig, PreTrainedModel
 
@@ -135,7 +136,16 @@ def _find_files_matching_pattern(
             files_ = [p for p in files_ if re.search(pattern, str(p))]
             files.extend(files_)
     else:
-        repo_files = map(Path, HfApi().list_repo_files(model_name_or_path, revision=revision, token=token))
+        hf_api = HfApi()
+        try:
+            repo_files = map(Path, hf_api.list_repo_files(model_name_or_path, revision=revision, token=token))
+        except (ConnectionError, OfflineModeIsEnabled):
+            snapshot_path = hf_api.snapshot_download(repo_id=str(model_name_or_path), revision=revision, token=token)
+            repo_files = [
+                Path(os.path.relpath(os.path.join(dirpath, file), snapshot_path))
+                for dirpath, _, filenames in os.walk(snapshot_path)
+                for file in filenames
+            ]
         files = [Path(p) for p in repo_files if re.match(pattern, str(p)) and str(p.parent) in subfolders]
 
     return files

setup.py

@@ -31,7 +31,7 @@
     "optimum~=2.3.0",
     "transformers>=4.51,<5.6",
     "setuptools",
-    "huggingface-hub>=0.23.2,<1.22",
+    "huggingface-hub>=0.23.2,<2.0",
     "nncf>=3.3.0",
     "openvino>=2026.0",
     "openvino-tokenizers>=2026.0",