Update implement.py

implement.py

@@ -13,8 +13,7 @@ import torch.nn.functional as F
 import timm
 from transformers import DistilBertModel, DistilBertConfig, DistilBertTokenizer
 import os
-os.environ['HTTPS_PROXY']="http://185.46.212.90:80/"
-os.environ['HTTP_PROXY']="http://185.46.212.90:80/"
+
 class CFG:
     debug = False
     image_path = "/raid/users/mohammadibrahim-st/TSAI/OpenAI-CLIP/Flicker-8k/Images"
@@ -32,9 +31,9 @@ class CFG:
 
     model_name = 'resnet50'
     image_embedding = 2048
-    text_encoder_model = "/raid/users/mohammadibrahim-st/Models/BertDistil"
+    text_encoder_model = "distilbert/distilbert-base-uncased"
     text_embedding = 768
-    text_tokenizer = "/raid/users/mohammadibrahim-st/Models/BertDistil"
+    text_tokenizer = "distilbert/distilbert-base-uncased"
     max_length = 200
 
     pretrained = True # for both image encoder and text encoder