diff --git a/src/transformers/safetensors_conversion.py b/src/transformers/safetensors_conversion.py
index a80927d61..5c0179350 100644
--- a/src/transformers/safetensors_conversion.py
+++ b/src/transformers/safetensors_conversion.py
@@ -1,5 +1,3 @@
-import json
-import uuid
 from typing import Optional
 
 import requests
@@ -26,37 +24,33 @@ def spawn_conversion(token: str, private: bool, model_id: str):
     logger.info("Attempting to convert .bin model on the fly to safetensors.")
 
     safetensors_convert_space_url = "https://safetensors-convert.hf.space"
-    sse_url = f"{safetensors_convert_space_url}/queue/join"
-    sse_data_url = f"{safetensors_convert_space_url}/queue/data"
+    sse_url = f"{safetensors_convert_space_url}/call/run"
 
-    # The `fn_index` is necessary to indicate to gradio that we will use the `run` method of the Space.
-    hash_data = {"fn_index": 1, "session_hash": str(uuid.uuid4())}
-
-    def start(_sse_connection, payload):
+    def start(_sse_connection):
         for line in _sse_connection.iter_lines():
             line = line.decode()
-            if line.startswith("data:"):
-                resp = json.loads(line[5:])
-                logger.debug(f"Safetensors conversion status: {resp['msg']}")
-                if resp["msg"] == "queue_full":
-                    raise ValueError("Queue is full! Please try again.")
-                elif resp["msg"] == "send_data":
-                    event_id = resp["event_id"]
-                    response = requests.post(
-                        sse_data_url,
-                        stream=True,
-                        params=hash_data,
-                        json={"event_id": event_id, **payload, **hash_data},
-                    )
-                    response.raise_for_status()
-                elif resp["msg"] == "process_completed":
-                    return
+            if line.startswith("event:"):
+                status = line[7:]
+                logger.debug(f"Safetensors conversion status: {status}")
 
-    with requests.get(sse_url, stream=True, params=hash_data) as sse_connection:
-        data = {"data": [model_id, private, token]}
+                if status == "complete":
+                    return
+                elif status == "heartbeat":
+                    logger.debug("Heartbeat")
+                else:
+                    logger.debug(f"Unknown status {status}")
+            else:
+                logger.debug(line)
+
+    data = {"data": [model_id, private, token]}
+
+    result = requests.post(sse_url, stream=True, json=data).json()
+    event_id = result["event_id"]
+
+    with requests.get(f"{sse_url}/{event_id}", stream=True) as sse_connection:
         try:
             logger.debug("Spawning safetensors automatic conversion.")
-            start(sse_connection, data)
+            start(sse_connection)
         except Exception as e:
             logger.warning(f"Error during conversion: {repr(e)}")
 
@@ -86,7 +80,7 @@ def get_conversion_pr_reference(api: HfApi, model_id: str, **kwargs):
 
 def auto_conversion(pretrained_model_name_or_path: str, ignore_errors_during_conversion=False, **cached_file_kwargs):
     try:
-        api = HfApi(token=cached_file_kwargs.get("token"), headers=http_user_agent())
+        api = HfApi(token=cached_file_kwargs.get("token"), headers={"user-agent": http_user_agent()})
         sha = get_conversion_pr_reference(api, pretrained_model_name_or_path, **cached_file_kwargs)
 
         if sha is None:
diff --git a/tests/utils/test_modeling_utils.py b/tests/utils/test_modeling_utils.py
index 3317a47d7..8af47cde8 100644
--- a/tests/utils/test_modeling_utils.py
+++ b/tests/utils/test_modeling_utils.py
@@ -2009,19 +2009,18 @@ class ModelOnTheFlyConversionTester(unittest.TestCase):
             if thread.name == "Thread-autoconversion":
                 thread.join(timeout=10)
 
-        with self.subTest("PR was open with the safetensors account"):
-            discussions = self.api.get_repo_discussions(self.repo_name)
+        discussions = self.api.get_repo_discussions(self.repo_name)
 
-            bot_opened_pr = None
-            bot_opened_pr_title = None
+        bot_opened_pr = None
+        bot_opened_pr_title = None
 
-            for discussion in discussions:
-                if discussion.author == "SFconvertbot":
-                    bot_opened_pr = True
-                    bot_opened_pr_title = discussion.title
+        for discussion in discussions:
+            if discussion.author == "SFconvertbot":
+                bot_opened_pr = True
+                bot_opened_pr_title = discussion.title
 
-            self.assertTrue(bot_opened_pr)
-            self.assertEqual(bot_opened_pr_title, "Adding `safetensors` variant of this model")
+        self.assertTrue(bot_opened_pr)
+        self.assertEqual(bot_opened_pr_title, "Adding `safetensors` variant of this model")
 
     @mock.patch("transformers.safetensors_conversion.spawn_conversion")
     def test_absence_of_safetensors_triggers_conversion_failed(self, spawn_conversion_mock):