Here is my Traceback. I am trying to create an API with flask and part of my api I need to load a neural network model and use it to evaluate certain text inputs for the API. To do this I need to load the model which is 3.5g, my available storage is 10gb. Whenever I try I get this error saying write could nto be completed without some "blocking" error. Any ieas what I could do to fix this.
2023-01-17 15:25:02,652: ***************************************************
2023-01-17 15:25:02,652: If you're seeing an import error and don't know why,
2023-01-17 15:25:02,653: we have a dedicated help page to help you debug:
2023-01-17 15:25:02,653: https://help.pythonanywhere.com/pages/DebuggingImportError/
2023-01-17 15:25:02,653: ***************************************************
2023-01-17 15:25:03,065: Error running WSGI application
2023-01-17 15:25:03,066: BlockingIOError: [Errno 11] write could not complete without blocking
2023-01-17 15:25:03,066: File "/var/www/syazvinski_pythonanywhere_com_wsgi.py", line 16, in <module>
2023-01-17 15:25:03,066: from flask_app import app as application # noqa
2023-01-17 15:25:03,067:
2023-01-17 15:25:03,067: File "/home/syazvinski/mysite/flask_app.py", line 2, in <module>
2023-01-17 15:25:03,067: import backend
2023-01-17 15:25:03,067:
2023-01-17 15:25:03,067: File "/home/syazvinski/mysite/backend.py", line 24, in <module>
2023-01-17 15:25:03,067: model = GPT2LMHeadModel.from_pretrained(model_id)
2023-01-17 15:25:03,067:
2023-01-17 15:25:03,067: File "/home/syazvinski/.local/lib/python3.9/site-packages/transformers/modeling_utils.py", line 2137, in from_pretrained
2023-01-17 15:25:03,068: resolved_archive_file = cached_file(pretrained_model_name_or_path, filename, **cached_file_kwargs)
2023-01-17 15:25:03,068:
2023-01-17 15:25:03,068: File "/home/syazvinski/.local/lib/python3.9/site-packages/transformers/utils/hub.py", line 409, in cached_file
2023-01-17 15:25:03,068: resolved_file = hf_hub_download(
2023-01-17 15:25:03,068:
2023-01-17 15:25:03,068: File "/home/syazvinski/.local/lib/python3.9/site-packages/huggingface_hub/utils/_validators.py", line 124, in _inner_fn
2023-01-17 15:25:03,068: return fn(*args, **kwargs)
2023-01-17 15:25:03,069:
2023-01-17 15:25:03,069: File "/home/syazvinski/.local/lib/python3.9/site-packages/huggingface_hub/file_download.py", line 1242, in hf_hub_download
2023-01-17 15:25:03,069: http_get(
2023-01-17 15:25:03,069:
2023-01-17 15:25:03,069: File "/home/syazvinski/.local/lib/python3.9/site-packages/huggingface_hub/file_download.py", line 497, in http_get
2023-01-17 15:25:03,069: progress.update(len(chunk))
2023-01-17 15:25:03,069:
2023-01-17 15:25:03,069: File "/usr/local/lib/python3.9/site-packages/tqdm/std.py", line 1225, in update
2023-01-17 15:25:03,070: self.refresh(lock_args=self.lock_args)
2023-01-17 15:25:03,070:
2023-01-17 15:25:03,070: File "/usr/local/lib/python3.9/site-packages/tqdm/std.py", line 1326, in refresh
2023-01-17 15:25:03,070: self.display()
2023-01-17 15:25:03,070:
2023-01-17 15:25:03,070: File "/usr/local/lib/python3.9/site-packages/tqdm/std.py", line 1467, in display
2023-01-17 15:25:03,070: self.sp(self.__repr__() if msg is None else msg)
2023-01-17 15:25:03,070:
2023-01-17 15:25:03,071: File "/usr/local/lib/python3.9/site-packages/tqdm/std.py", line 348, in print_status
2023-01-17 15:25:03,071: fp_write('\r' + s + (' ' * max(last_len[0] - len_s, 0)))
2023-01-17 15:25:03,071:
2023-01-17 15:25:03,071: File "/usr/local/lib/python3.9/site-packages/tqdm/std.py", line 341, in fp_write
2023-01-17 15:25:03,071: fp.write(_unicode(s))
2023-01-17 15:25:03,071:
2023-01-17 15:25:03,071: File "/usr/local/lib/python3.9/site-packages/tqdm/utils.py", line 143, in inner
2023-01-17 15:25:03,072: return func(*args, **kwargs)