diff --git a/README.md b/README.md
index 9c62965..5af7a19 100644
--- a/README.md
+++ b/README.md
@@ -47,7 +47,7 @@ We benchmark our code thoroughly on three datasets: pascal voc and coco, using f
 model    | mAP |
 ---------|--------|
 [EfficientDet-D0(with Weight)](https://drive.google.com/file/d/1r7MAyBfG5OK_9F_cU8yActUWxTHOuOpL/view?usp=sharing | 62.16
-
+https://stackoverflhttps://stackoverflow.com/users/5103969/abhik-sarkarow.com/users/5103969/abhik-sarkar
 
 ## Installation
 - Install [PyTorch](http://pytorch.org/) by selecting your environment on the website and running the appropriate command.
@@ -88,22 +88,22 @@ sh datasets/scripts/COCO2017.sh
 - To train EfficientDet using the train script simply specify the parameters listed in `train.py` as a flag or manually change them.
 
 ```Shell
-python train.py --network effcientdet-d0  # Example
+python train.py --network efficientdet-d0  # Example
 ```
 
   - With VOC Dataset:
   ```Shell
   # DataParallel
-  python train.py --dataset VOC --dataset_root /root/data/VOCdevkit/ --network effcientdet-d0 --batch_size 32 
+  python train.py --dataset VOC --dataset_root /root/data/VOCdevkit/ --network efficientdet-d0 --batch_size 32 
   # DistributedDataParallel with backend nccl
-  python train.py --dataset VOC --dataset_root /root/data/VOCdevkit/ --network effcientdet-d0 --batch_size 32 --multiprocessing-distributed
+  python train.py --dataset VOC --dataset_root /root/data/VOCdevkit/ --network efficientdet-d0 --batch_size 32 --multiprocessing-distributed
   ```
   - With COCO Dataset:
   ```Shell
   # DataParallel
-  python train.py --dataset COCO --dataset_root ~/data/coco/ --network effcientdet-d0 --batch_size 32
+  python train.py --dataset COCO --dataset_root ~/data/coco/ --network efficientdet-d0 --batch_size 32
   # DistributedDataParallel with backend nccl
-  python train.py --dataset COCO --dataset_root ~/data/coco/ --network effcientdet-d0 --batch_size 32 --multiprocessing-distributed
+  python train.py --dataset COCO --dataset_root ~/data/coco/ --network efficientdet-d0 --batch_size 32 --multiprocessing-distributed
   ```
 
 ## Evaluation
diff --git a/models/utils.py b/models/utils.py
index 34c8649..d0db05d 100644
--- a/models/utils.py
+++ b/models/utils.py
@@ -303,17 +303,20 @@ def get_model_params(model_name, override_params):
 
 
 url_map = {
-    'efficientnet-b0': 'http://storage.googleapis.com/public-models/efficientnet/efficientnet-b0-355c32eb.pth',
-    'efficientnet-b1': 'http://storage.googleapis.com/public-models/efficientnet/efficientnet-b1-f1951068.pth',
-    'efficientnet-b2': 'http://storage.googleapis.com/public-models/efficientnet/efficientnet-b2-8bb594d6.pth',
-    'efficientnet-b3': 'http://storage.googleapis.com/public-models/efficientnet/efficientnet-b3-5fb5a3c3.pth',
-    'efficientnet-b4': 'http://storage.googleapis.com/public-models/efficientnet/efficientnet-b4-6ed6700e.pth',
-    'efficientnet-b5': 'http://storage.googleapis.com/public-models/efficientnet/efficientnet-b5-b6417697.pth',
-    'efficientnet-b6': 'http://storage.googleapis.com/public-models/efficientnet/efficientnet-b6-c76e70fd.pth',
-    'efficientnet-b7': 'http://storage.googleapis.com/public-models/efficientnet/efficientnet-b7-dcc49843.pth',
+    'efficientnet-b0': 'https://publicmodels.blob.core.windows.net/container/advprop/efficientnet-b0-b64d5a18.pth', 
+    'efficientnet-b1': 'https://publicmodels.blob.core.windows.net/container/advprop/efficientnet-b1-0f3ce85a.pth',
+    'efficientnet-b2': 'https://publicmodels.blob.core.windows.net/container/advprop/efficientnet-b2-6e9d97e5.pth',
+    'efficientnet-b3': 'https://publicmodels.blob.core.windows.net/container/advprop/efficientnet-b3-cdd7c0f4.pth',
+    'efficientnet-b4': 'https://publicmodels.blob.core.windows.net/container/advprop/efficientnet-b4-44fb3a87.pth',
+    'efficientnet-b5': 'https://publicmodels.blob.core.windows.net/container/advprop/efficientnet-b5-86493f6b.pth',
+    'efficientnet-b6': 'https://publicmodels.blob.core.windows.net/container/advprop/efficientnet-b6-ac80338e.pth',
+    'efficientnet-b7': 'https://publicmodels.blob.core.windows.net/container/advprop/efficientnet-b7-4652b6dd.pth',
+    'efficientnet-b8': 'https://publicmodels.blob.core.windows.net/container/advprop/efficientnet-b8-22a8fe65.pth',
 }
 
 
+
+
 def load_pretrained_weights(model, model_name, load_fc=True):
     """ Loads pretrained weights, and downloads if loading for the first time. """
     state_dict = model_zoo.load_url(url_map[model_name])