Colab transformers fix

aiserver.py

@@ -1438,49 +1438,6 @@ def patch_transformers_download():
         def flush(self):
             pass
     
-    def http_get(
-        url: str,
-        temp_file: BinaryIO,
-        *,
-        proxies=None,
-        resume_size=0,
-        headers: Optional[Dict[str, str]] = None,
-        timeout=10.0,
-        max_retries=0,
-    ):
-        """
-        Donwload a remote file. Do not gobble up errors, and will return errors tailored to the Hugging Face Hub.
-        """
-        headers = copy.deepcopy(headers)
-        if resume_size > 0:
-            headers["Range"] = "bytes=%d-" % (resume_size,)
-        r = _request_wrapper(
-            method="GET",
-            url=url,
-            stream=True,
-            proxies=proxies,
-            headers=headers,
-            timeout=timeout,
-            max_retries=max_retries,
-        )
-        hf_raise_for_status(r)
-        content_length = r.headers.get("Content-Length")
-        total = resume_size + int(content_length) if content_length is not None else None
-        progress = tqdm(
-            unit="B",
-            unit_scale=True,
-            total=total,
-            initial=resume_size,
-            desc="Downloading",
-            file=Send_to_socketio(),
-            disable=bool(logger.getEffectiveLevel() == logging.NOTSET),
-        )
-        for chunk in r.iter_content(chunk_size=1024):
-            if chunk:  # filter out keep-alive new chunks
-                progress.update(len(chunk))
-                temp_file.write(chunk)
-        progress.close()
-    
     def http_get(
         url: str,
         temp_file: transformers.utils.hub.BinaryIO,