OSError: When i am loading pszemraj\flan-t5-large-grammar-synthesis from hugging face
D:\gramformer>python -m uvicorn nova_grammar_corrector:app --reload
←[32mINFO←[0m:     Will watch for changes in these directories: ['D:\\gramformer
']
←[32mINFO←[0m:     Uvicorn running on ←[1mhttp://127.0.0.1:8000←[0m (Press CTRL+
C to quit)
←[32mINFO←[0m:     Started reloader process [←[36m←[1m13980←[0m] using ←[36m←[1m
StatReload←[0m
Downloading spiece.model: 100%|█████████████| 792k/792k [00:00<00:00, 39.6MB/s]
C:\Python37\lib\site-packages\huggingface_hub\file_download.py:133: UserWarning:
 `huggingface_hub` cache-system uses symlinks by default to efficiently store du
plicated files but your machine does not support them in C:\Users\devblr\.cache\
huggingface\hub. Caching files will still work but in a degraded version that mi
ght require more space on your disk. This warning can be disabled by setting the
 `HF_HUB_DISABLE_SYMLINKS_WARNING` environment variable. For more details, see h
ttps://huggingface.co/docs/huggingface_hub/how-to-cache#limitations.
To support symlinks on Windows, you either need to activate Developer Mode or to
 run Python as an administrator. In order to see activate developer mode, see th
is article: https://docs.microsoft.com/en-us/windows/apps/get-started/enable-you
r-device-for-development
  warnings.warn(message)
Downloading (.)cial_tokens_map.json: 100%|████████| 2.20k/2.20k [00:00<?, ?B/s]
Downloading (.)okenizer_config.json: 100%|█| 2.56k/2.56k [00:00<00:00, 164kB/s]
Downloading (.)lve/main/config.json: 100%|████████████| 892/892 [00:00<?, ?B/s]
Downloading pytorch_model.bin: 100%|███████| 3.13G/3.13G [00:26<00:00, 118MB/s]
Process SpawnProcess-1:
Traceback (most recent call last):
  File "C:\Python37\lib\site-packages\transformers\modeling_utils.py", line 446,
 in load_state_dict
    return torch.load(checkpoint_file, map_location="cpu")
  File "C:\Python37\lib\site-packages\torch\serialization.py", line 789, in load

    return _load(opened_zipfile, map_location, pickle_module, **pickle_load_args
)
  File "C:\Python37\lib\site-packages\torch\serialization.py", line 1131, in _lo
ad
    result = unpickler.load()
  File "C:\Python37\lib\site-packages\torch\serialization.py", line 1101, in per
sistent_load
    load_tensor(dtype, nbytes, key, _maybe_decode_ascii(location))
  File "C:\Python37\lib\site-packages\torch\serialization.py", line 1079, in loa
d_tensor
    storage = zip_file.get_storage_from_record(name, numel, torch.UntypedStorage
).storage().untyped()
RuntimeError: [enforce fail at C:\actions-runner\_work\pytorch\pytorch\builder\w
indows\pytorch\c10\core\impl\alloc_cpu.cpp:72] data. DefaultCPUAllocator: not en
ough memory: you tried to allocate 11534336 bytes.

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "C:\Python37\lib\site-packages\transformers\modeling_utils.py", line 450,
 in load_state_dict
    if f.read(7) == "version":
  File "C:\Python37\lib\encodings\cp1252.py", line 23, in decode
    return codecs.charmap_decode(input,self.errors,decoding_table)[0]
UnicodeDecodeError: 'charmap' codec can't decode byte 0x81 in position 1827: cha
racter maps to <undefined>

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "C:\Python37\lib\multiprocessing\process.py", line 297, in _bootstrap
    self.run()
  File "C:\Python37\lib\multiprocessing\process.py", line 99, in run
    self._target(*self._args, **self._kwargs)
  File "C:\Python37\lib\site-packages\uvicorn\_subprocess.py", line 76, in subpr
ocess_started
    target(sockets=sockets)
  File "C:\Python37\lib\site-packages\uvicorn\server.py", line 61, in run
    return asyncio.run(self.serve(sockets=sockets))
  File "C:\Python37\lib\asyncio\runners.py", line 43, in run
    return loop.run_until_complete(main)
  File "C:\Python37\lib\asyncio\base_events.py", line 583, in run_until_complete

    return future.result()
  File "C:\Python37\lib\site-packages\uvicorn\server.py", line 68, in serve
    config.load()
  File "C:\Python37\lib\site-packages\uvicorn\config.py", line 473, in load
    self.loaded_app = import_from_string(self.app)
  File "C:\Python37\lib\site-packages\uvicorn\importer.py", line 21, in import_f
rom_string
    module = importlib.import_module(module_str)
  File "C:\Python37\lib\importlib\__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "<frozen importlib._bootstrap>", line 1006, in _gcd_import
  File "<frozen importlib._bootstrap>", line 983, in _find_and_load
  File "<frozen importlib._bootstrap>", line 967, in _find_and_load_unlocked
  File "<frozen importlib._bootstrap>", line 677, in _load_unlocked
  File "<frozen importlib._bootstrap_external>", line 728, in exec_module
  File "<frozen importlib._bootstrap>", line 219, in _call_with_frames_removed
  File "D:\gramformer\nova_grammar_corrector.py", line 273, in <module>
    ngc = nova_grammar_corrector(models=1, use_gpu=False)
  File "D:\gramformer\nova_grammar_corrector.py", line 161, in __init__
    self.correction_model     = T5ForConditionalGeneration.from_pretrained(corre
ction_model_tag, use_auth_token=False)
  File "C:\Python37\lib\site-packages\transformers\modeling_utils.py", line 2542
, in from_pretrained
    state_dict = load_state_dict(resolved_archive_file)
  File "C:\Python37\lib\site-packages\transformers\modeling_utils.py", line 463,
 in load_state_dict
    f"Unable to load weights from pytorch checkpoint file for '{checkpoint_file}
`"OSError:`` Unable to load weights from pytorch checkpoint file for 'C:\Users\devbl
r/.cache\huggingface\hub\models--pszemraj--flan-t5-large-grammar-synthesis\snaps
hots\d45c90f835904f6c3fdf320e74fa6e894e960871\pytorch_model.bin' at 'C:\Users\de
vblr/.cache\huggingface\hub\models--pszemraj--flan-t5-large-grammar-synthesis\sn
apshots\d45c90f835904f6c3fdf320e74fa6e894e960871\pytorch_model.bin'. If you trie
d to load a PyTorch model from a TF 2.0 checkpoint, please set `from_tf=True.```
You do not have enough CPU RAM to open the model checkpoint.<|||||>This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.

Please note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md) are likely to be ignored.