fix linter issues

modules/sd_models_config.py

@@ -96,7 +96,6 @@ def guess_model_config_from_state_dict(sd, filename):
             return config_instruct_pix2pix
 
 
-    # import pdb; pdb.set_trace()
     if sd.get('cond_stage_model.roberta.embeddings.word_embeddings.weight', None) is not None:
         if sd.get('cond_stage_model.transformation.weight').size()[0] == 1024:
             return config_alt_diffusion_m18

modules/xlmr_m18.py

-from transformers import BertPreTrainedModel,BertModel,BertConfig
+from transformers import BertPreTrainedModel,BertConfig
 import torch.nn as nn
 import torch
 from transformers.models.xlm_roberta.configuration_xlm_roberta import XLMRobertaConfig