diff --git a/examples/models/moshi/mimi/test_mimi.py b/examples/models/moshi/mimi/test_mimi.py
index 881f8c9371c..c8d9921ed67 100644
--- a/examples/models/moshi/mimi/test_mimi.py
+++ b/examples/models/moshi/mimi/test_mimi.py
@@ -2,6 +2,7 @@
 import os
 import random
 import unittest
+import urllib
 
 import numpy as np
 import requests
@@ -23,7 +24,10 @@
 from torch.export import export, ExportedProgram
 from torch.utils._pytree import tree_flatten
 
-os.environ["https_proxy"] = "http://fwdproxy:8080"
+proxies = {
+    "http": "http://fwdproxy:8080",
+    "https": "http://fwdproxy:8080",
+}
 
 
 def compute_sqnr(x: torch.Tensor, y: torch.Tensor) -> float:
@@ -38,7 +42,12 @@ def compute_sqnr(x: torch.Tensor, y: torch.Tensor) -> float:
 
 
 def read_mp3_from_url(url):
-    response = requests.get(url)
+    try:
+        response = requests.get(url)
+    except:
+        # FB-only hack, need to use a forwarding proxy to get url
+        response = requests.get(url, proxies=proxies)
+
     response.raise_for_status()  # Ensure request is successful
     audio_stream = io.BytesIO(response.content)
     waveform, sample_rate = torchaudio.load(audio_stream, format="mp3")
@@ -68,7 +77,13 @@ def seed_all(seed):
         seed_all(42424242)
 
         if mimi_weight is None:
-            mimi_weight = hf_hub_download(hf_repo, loaders.MIMI_NAME)
+            try:
+                mimi_weight = hf_hub_download(hf_repo, loaders.MIMI_NAME)
+            except:
+                mimi_weight = hf_hub_download(
+                    hf_repo, loaders.MIMI_NAME, proxies=proxies
+                )
+
         cls.mimi = loaders.get_mimi(mimi_weight, device)
         cls.device = device
         cls.sample_pcm, cls.sample_sr = read_mp3_from_url(