fix lint

Author: huydt-bti

common/common.cpp

@@ -905,7 +905,7 @@ struct common_init_result common_init_from_params(common_params & params) {
 
         bool has_eos = llama_vocab_eos(vocab) != LLAMA_TOKEN_NULL;
         bool has_sep = llama_vocab_sep(vocab) != LLAMA_TOKEN_NULL;
-        
+
         if (!has_eos && !has_sep) {
             LOG_WRN("%s: warning: vocab does not have an EOS token or SEP token, reranking will not work\n", __func__);
             ok = false;

convert_hf_to_gguf.py

@@ -3738,7 +3738,7 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
 
         if name.startswith("cls.seq_relationship"):
             return []
-        
+
         # For BertForSequenceClassification (direct projection layer)
         if name == "classifier.weight":
             name = "classifier.out_proj.weight"

src/llama-graph.cpp

@@ -1567,7 +1567,7 @@ void llm_graph_context::build_pooling(
                     // https://github.com/huggingface/transformers/blob/5af7d41e49bbfc8319f462eb45253dcb3863dfb7/src/transformers/models/roberta/modeling_roberta.py#L1566
                     cur = ggml_add(ctx0, ggml_mul_mat(ctx0, cls, inp), cls_b);
                     cur = ggml_tanh(ctx0, cur);
-                    
+
                     // some models don't have `cls_out`, for example: https://huggingface.co/jinaai/jina-reranker-v1-tiny-en
                     // https://huggingface.co/jinaai/jina-reranker-v1-tiny-en/blob/cb5347e43979c3084a890e3f99491952603ae1b7/modeling_bert.py#L884-L896
                     if (cls_out) {