Remove logging statements

modeling_zeranker.py

@@ -20,11 +20,6 @@ from transformers.models.qwen3.modeling_qwen3 import Qwen3ForCausalLM
 from transformers.tokenization_utils_base import BatchEncoding
 from transformers.tokenization_utils_fast import PreTrainedTokenizerFast
 
-import logging
-
-logger = logging.getLogger(__name__)
-print("Running code of HF Model")
-
 # pyright: reportUnknownMemberType=false
 # pyright: reportUnknownVariableType=false
 
@@ -131,9 +126,7 @@ def predict(
         query_documents = [[sentence[0], sentence[1]] for sentence in sentences]
 
     if not hasattr(self, "inner_model"):
-        logger.info(f"Memory reserved [Within Model File] Before Loading Model: {torch.cuda.memory_reserved()}")
         self.inner_tokenizer, self.inner_model = load_model(global_device)
-        logger.info(f"Memory reserved [Within Model File] After Loading Model: {torch.cuda.memory_reserved()}")
         self.inner_model.eval()
         self.inner_model.gradient_checkpointing_disable()
         self.inner_yes_token_id = self.inner_tokenizer.encode(