Remove optimum-habana dependency (#599)

Signed-off-by: Liu, Kaixuan <[email protected]>

Author: kaixuanliu

backends/python/server/requirements-hpu.txt

@@ -32,8 +32,6 @@ opentelemetry-instrumentation==0.36b0 ; python_version >= "3.9" and python_versi
 opentelemetry-proto==1.15.0 ; python_version >= "3.9" and python_version < "3.13"
 opentelemetry-sdk==1.15.0 ; python_version >= "3.9" and python_version < "3.13"
 opentelemetry-semantic-conventions==0.36b0 ; python_version >= "3.9" and python_version < "3.13"
-optimum-habana==1.15.0 ; python_version >= "3.9" and python_version < "3.13"
-optimum==1.23.3 ; python_version >= "3.9" and python_version < "3.13"
 packaging==23.1 ; python_version >= "3.9" and python_version < "3.13"
 pandas==2.2.2 ; python_version >= "3.9" and python_version < "3.13"
 pillow==10.3.0 ; python_version >= "3.9" and python_version < "3.13"

backends/python/server/text_embeddings_server/models/__init__.py

@@ -109,11 +109,7 @@ def get_model(model_path: Path, dtype: Optional[str], pool: str):
     else:
         if device.type == "hpu":
             from habana_frameworks.torch.hpu import wrap_in_hpu_graph
-            from optimum.habana.transformers.modeling_utils import (
-                adapt_transformers_to_gaudi,
-            )
 
-            adapt_transformers_to_gaudi()
             if config.architectures[0].endswith("Classification"):
                 model_handle = ClassificationModel(
                     model_path,