chore(style): cleanup bytes

Signed-off-by: Aaron <29749331+aarnphm@users.noreply.github.com>

openllm-python/src/openllm/serialisation/transformers/weights.py

@@ -1,30 +1,22 @@
 from __future__ import annotations
-import traceback
-import typing as t
-from pathlib import Path
-
-import attr
+import attr, traceback, pathlib, typing as t
 from huggingface_hub import HfApi
-
 from openllm_core.exceptions import Error
 from openllm_core.utils import resolve_filepath, validate_is_path
 
 if t.TYPE_CHECKING:
   from huggingface_hub.hf_api import ModelInfo as HfModelInfo
-
   import openllm
 
 __global_inst__ = None
 __cached_id__: dict[str, HfModelInfo] = dict()
 
-
 def Client() -> HfApi:
   global __global_inst__  # noqa: PLW0603
   if __global_inst__ is None:
     __global_inst__ = HfApi()
   return __global_inst__
 
-
 def ModelInfo(model_id: str, revision: str | None = None) -> HfModelInfo:
   if model_id in __cached_id__:
     return __cached_id__[model_id]
@@ -35,13 +27,11 @@ def ModelInfo(model_id: str, revision: str | None = None) -> HfModelInfo:
     traceback.print_exc()
     raise Error(f'Failed to fetch {model_id} from huggingface.co') from err
 
-
 def has_safetensors_weights(model_id: str, revision: str | None = None) -> bool:
   if validate_is_path(model_id):
-    return next((True for _ in Path(resolve_filepath(model_id)).glob('*.safetensors')), False)
+    return next((True for _ in pathlib.Path(resolve_filepath(model_id)).glob('*.safetensors')), False)
   return any(s.rfilename.endswith('.safetensors') for s in ModelInfo(model_id, revision=revision).siblings)
 
-
 @attr.define(slots=True)
 class HfIgnore:
   safetensors = '*.safetensors'
@@ -49,7 +39,6 @@ class HfIgnore:
   tf = '*.h5'
   flax = '*.msgpack'
   gguf = '*.gguf'
-
   @classmethod
   def ignore_patterns(cls, llm: openllm.LLM[t.Any, t.Any]) -> list[str]:
     if llm.__llm_backend__ in {'vllm', 'pt'}: