Use hfh's is_offline_mode helper

examples/pytorch/summarization/run_summarization.py

@@ -45,6 +45,7 @@
 import numpy as np
 from datasets import load_dataset
 from filelock import FileLock
+from huggingface_hub import is_offline_mode
 
 import transformers
 from transformers import (
@@ -61,7 +62,7 @@
     Seq2SeqTrainingArguments,
     set_seed,
 )
-from transformers.utils import check_min_version, is_offline_mode
+from transformers.utils import check_min_version
 from transformers.utils.versions import require_version
 
 

examples/pytorch/summarization/run_summarization_no_trainer.py

@@ -51,7 +51,7 @@
 from accelerate.utils import set_seed
 from datasets import load_dataset
 from filelock import FileLock
-from huggingface_hub import HfApi
+from huggingface_hub import HfApi, is_offline_mode
 from torch.utils.data import DataLoader
 from tqdm.auto import tqdm
 
@@ -66,7 +66,7 @@
     SchedulerType,
     get_scheduler,
 )
-from transformers.utils import check_min_version, is_offline_mode
+from transformers.utils import check_min_version
 from transformers.utils.versions import require_version
 
 

setup.py

@@ -112,7 +112,7 @@
     "GitPython<3.1.19",
     "hf-doc-builder>=0.3.0",
     "hf_xet",
-    "huggingface-hub>=1.0.0,<2.0",
+    "huggingface-hub>=1.2.1,<2.0",
     "importlib_metadata",
     "ipadic>=1.0.0,<2.0",
     "jinja2>=3.1.0",

src/transformers/dependency_versions_table.py

@@ -22,7 +22,7 @@
     "GitPython": "GitPython<3.1.19",
     "hf-doc-builder": "hf-doc-builder>=0.3.0",
     "hf_xet": "hf_xet",
-    "huggingface-hub": "huggingface-hub>=1.0.0,<2.0",
+    "huggingface-hub": "huggingface-hub>=1.2.1,<2.0",
     "importlib_metadata": "importlib_metadata",
     "ipadic": "ipadic>=1.0.0,<2.0",
     "jinja2": "jinja2>=3.1.0",

src/transformers/dynamic_module_utils.py

@@ -30,15 +30,14 @@
 from types import ModuleType
 from typing import Any, Optional, Union
 
-from huggingface_hub import try_to_load_from_cache
+from huggingface_hub import is_offline_mode, try_to_load_from_cache
 from packaging import version
 
 from .utils import (
     HF_MODULES_CACHE,
     TRANSFORMERS_DYNAMIC_MODULE_NAME,
     cached_file,
     extract_commit_hash,
-    is_offline_mode,
     logging,
 )
 from .utils.import_utils import VersionComparison, split_package_version

src/transformers/feature_extraction_utils.py

@@ -22,7 +22,7 @@
 from typing import TYPE_CHECKING, Any, Optional, TypeVar, Union
 
 import numpy as np
-from huggingface_hub import create_repo
+from huggingface_hub import create_repo, is_offline_mode
 
 from .dynamic_module_utils import custom_object_save
 from .utils import (
@@ -32,7 +32,6 @@
     TensorType,
     copy_func,
     is_numpy_array,
-    is_offline_mode,
     is_torch_available,
     is_torch_device,
     is_torch_dtype,

src/transformers/file_utils.py

@@ -68,7 +68,6 @@
     is_in_notebook,
     is_ipex_available,
     is_librosa_available,
-    is_offline_mode,
     is_onnx_available,
     is_pandas_available,
     is_phonemizer_available,

src/transformers/image_processing_base.py

@@ -18,7 +18,7 @@
 from typing import Any, Optional, TypeVar, Union
 
 import numpy as np
-from huggingface_hub import create_repo
+from huggingface_hub import create_repo, is_offline_mode
 
 from .dynamic_module_utils import custom_object_save
 from .feature_extraction_utils import BatchFeature as BaseBatchFeature
@@ -28,7 +28,6 @@
     PROCESSOR_NAME,
     PushToHubMixin,
     copy_func,
-    is_offline_mode,
     logging,
     safe_load_json_file,
 )

src/transformers/modelcard.py

@@ -23,7 +23,7 @@
 
 import httpx
 import yaml
-from huggingface_hub import model_info
+from huggingface_hub import is_offline_mode, model_info
 from huggingface_hub.errors import OfflineModeIsEnabled
 from huggingface_hub.utils import HFValidationError
 
@@ -50,7 +50,6 @@
     MODEL_CARD_NAME,
     cached_file,
     is_datasets_available,
-    is_offline_mode,
     is_tokenizers_available,
     is_torch_available,
     logging,

src/transformers/modeling_utils.py

@@ -36,7 +36,7 @@
 from zipfile import is_zipfile
 
 import torch
-from huggingface_hub import create_repo, split_torch_state_dict_into_shards
+from huggingface_hub import create_repo, is_offline_mode, split_torch_state_dict_into_shards
 from packaging import version
 from safetensors import safe_open
 from safetensors.torch import save_file as safe_save_file
@@ -110,7 +110,6 @@
     is_flash_attn_2_available,
     is_flash_attn_3_available,
     is_kernels_available,
-    is_offline_mode,
     is_torch_flex_attn_available,
     is_torch_greater_or_equal,
     is_torch_mlu_available,

src/transformers/pipelines/__init__.py

@@ -18,7 +18,7 @@
 from pathlib import Path
 from typing import TYPE_CHECKING, Any, Optional, Union
 
-from huggingface_hub import model_info
+from huggingface_hub import is_offline_mode, model_info
 
 from ..configuration_utils import PreTrainedConfig
 from ..dynamic_module_utils import get_class_from_dynamic_module
@@ -38,7 +38,6 @@
     extract_commit_hash,
     find_adapter_config_file,
     is_kenlm_available,
-    is_offline_mode,
     is_peft_available,
     is_pyctcdecode_available,
     is_torch_available,

src/transformers/processing_utils.py

@@ -28,7 +28,7 @@
 
 import numpy as np
 import typing_extensions
-from huggingface_hub import create_repo
+from huggingface_hub import create_repo, is_offline_mode
 from huggingface_hub.dataclasses import validate_typed_dict
 from huggingface_hub.errors import EntryNotFoundError
 
@@ -54,7 +54,6 @@
     cached_file,
     copy_func,
     direct_transformers_import,
-    is_offline_mode,
     is_torch_available,
     list_repo_templates,
     logging,

src/transformers/tokenization_utils_base.py

@@ -33,7 +33,7 @@
 from typing import TYPE_CHECKING, Any, NamedTuple, Optional, Union
 
 import numpy as np
-from huggingface_hub import create_repo, list_repo_files
+from huggingface_hub import create_repo, is_offline_mode, list_repo_files
 from packaging import version
 
 from . import __version__
@@ -51,7 +51,6 @@
     extract_commit_hash,
     is_mlx_available,
     is_numpy_array,
-    is_offline_mode,
     is_protobuf_available,
     is_tokenizers_available,
     is_torch_available,

src/transformers/tokenization_utils_tokenizers.py

@@ -24,6 +24,7 @@
 from typing import Any, Optional, Union
 
 import tokenizers.pre_tokenizers as pre_tokenizers_fast
+from huggingface_hub import is_offline_mode
 from tokenizers import AddedToken, processors
 from tokenizers import Encoding as EncodingFast
 from tokenizers import Tokenizer as TokenizerFast
@@ -42,7 +43,7 @@
     TextInput,
     TruncationStrategy,
 )
-from .utils import PaddingStrategy, add_end_docstrings, is_offline_mode, logging
+from .utils import PaddingStrategy, add_end_docstrings, logging
 
 
 logger = logging.get_logger(__name__)

src/transformers/utils/__init__.py

@@ -91,7 +91,6 @@
     extract_commit_hash,
     has_file,
     http_user_agent,
-    is_offline_mode,
     list_repo_templates,
     try_to_load_from_cache,
 )

src/transformers/utils/hub.py

@@ -37,6 +37,7 @@
     create_repo,
     hf_hub_download,
     hf_hub_url,
+    is_offline_mode,
     list_repo_tree,
     snapshot_download,
     try_to_load_from_cache,
@@ -83,13 +84,6 @@ class DownloadKwargs(TypedDict, total=False):
     commit_hash: str | None
 
 
-def is_offline_mode():
-    # Import inside the function so test patches on `huggingface_hub.constants` are picked up.
-    from huggingface_hub import constants as hf_hub_constants
-
-    return hf_hub_constants.HF_HUB_OFFLINE
-
-
 # Determine default cache directory.
 # The best way to set the cache path is with the environment variable HF_HOME. For more details, check out this
 # documentation page: https://huggingface.co/docs/huggingface_hub/package_reference/environment_variables.

src/transformers/video_processing_utils.py

@@ -22,7 +22,7 @@
 from typing import Any, Optional, Union
 
 import numpy as np
-from huggingface_hub import create_repo
+from huggingface_hub import create_repo, is_offline_mode
 from huggingface_hub.dataclasses import validate_typed_dict
 
 from .dynamic_module_utils import custom_object_save
@@ -44,7 +44,6 @@
     TensorType,
     add_start_docstrings,
     copy_func,
-    is_offline_mode,
     is_torch_available,
     is_torchcodec_available,
     is_torchvision_v2_available,

tests/utils/test_modeling_utils.py

@@ -315,16 +315,16 @@ class TestOffline(unittest.TestCase):
         def test_offline(self):
             with tempfile.TemporaryDirectory() as tmpdir:
                 # First offline load should fail
-                with patch("transformers.utils.hub.is_offline_mode", return_value=True):
+                with patch("huggingface_hub.constants.HF_HUB_OFFLINE", True):
                     with pytest.raises(OSError):
                         AutoModelForImageClassification.from_pretrained(TINY_IMAGE_CLASSIF, cache_dir=tmpdir)
 
                 # Enable online mode for download
-                with patch("transformers.utils.hub.is_offline_mode", return_value=False):
+                with patch("huggingface_hub.constants.HF_HUB_OFFLINE", False):
                     snapshot_download(TINY_IMAGE_CLASSIF, cache_dir=tmpdir)
 
                 # Load again in offline mode - should work now
-                with patch("transformers.utils.hub.is_offline_mode", return_value=True):
+                with patch("huggingface_hub.constants.HF_HUB_OFFLINE", True):
                     AutoModelForImageClassification.from_pretrained(TINY_IMAGE_CLASSIF, cache_dir=tmpdir)
 
         def test_local_files_only(self):

tests/utils/test_offline.py

@@ -182,7 +182,7 @@ def test_is_offline_mode(self):
         """
         Test `is_offline_mode` helper (should respect both HF_HUB_OFFLINE and legacy TRANSFORMERS_OFFLINE env vars)
         """
-        load = "from transformers.utils import is_offline_mode"
+        load = "from huggingface_hub import is_offline_mode"
         run = "print(is_offline_mode())"
 
         stdout, _ = self._execute_with_env(load, run)