Problem running the code
I'm having trouble installing the packages and I'm getting these errors.
(venv) PS C:\Users\B2J004\Desktop\huggingface> python python.py
2024-09-20 14:04:42.168645: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable TF_ENABLE_ONEDNN_OPTS=0
.
2024-09-20 14:04:43.233812: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable TF_ENABLE_ONEDNN_OPTS=0
.
Traceback (most recent call last):
File "C:\Users\B2J004\Desktop\huggingface\python.py", line 5, in
processor = BlipProcessor.from_pretrained("Salesforce/blip-image-captioning-base")
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\B2J004\Desktop\huggingface\venv\Lib\site-packages\transformers\processing_utils.py", line 892, in from_pretrained
args = cls._get_arguments_from_pretrained(pretrained_model_name_or_path, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\B2J004\Desktop\huggingface\venv\Lib\site-packages\transformers\processing_utils.py", line 938, in _get_arguments_from_pretrained
args.append(attribute_class.from_pretrained(pretrained_model_name_or_path, **kwargs))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\B2J004\Desktop\huggingface\venv\Lib\site-packages\transformers\image_processing_base.py", line 206, in from_pretrained
image_processor_dict, kwargs = cls.get_image_processor_dict(pretrained_model_name_or_path, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\B2J004\Desktop\huggingface\venv\Lib\site-packages\transformers\image_processing_base.py", line 335, in get_image_processor_dict
resolved_image_processor_file = cached_file(
^^^^^^^^^^^^
File "C:\Users\B2J004\Desktop\huggingface\venv\Lib\site-packages\transformers\utils\hub.py", line 402, in cached_file
resolved_file = hf_hub_download(
^^^^^^^^^^^^^^^^
File "C:\Users\B2J004\Desktop\huggingface\venv\Lib\site-packages\huggingface_hub\utils_deprecation.py", line 101, in inner_f
return f(*args, **kwargs)
^^^^^^^^^^^^^^^^^^
File "C:\Users\B2J004\Desktop\huggingface\venv\Lib\site-packages\huggingface_hub\utils_validators.py", line 114, in _inner_fn
return fn(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^
File "C:\Users\B2J004\Desktop\huggingface\venv\Lib\site-packages\huggingface_hub\file_download.py", line 1232, in hf_hub_download
return _hf_hub_download_to_cache_dir(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\B2J004\Desktop\huggingface\venv\Lib\site-packages\huggingface_hub\file_download.py", line 1295, in _hf_hub_download_to_cache_dir
(url_to_download, etag, commit_hash, expected_size, head_call_error) = _get_metadata_or_catch_error(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\B2J004\Desktop\huggingface\venv\Lib\site-packages\huggingface_hub\file_download.py", line 1746, in _get_metadata_or_catch_error
metadata = get_hf_file_metadata(
^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\B2J004\Desktop\huggingface\venv\Lib\site-packages\huggingface_hub\utils_validators.py", line 114, in _inner_fn
return fn(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^
File "C:\Users\B2J004\Desktop\huggingface\venv\Lib\site-packages\huggingface_hub\file_download.py", line 1666, in get_hf_file_metadata
r = _request_wrapper(
^^^^^^^^^^^^^^^^^
File "C:\Users\B2J004\Desktop\huggingface\venv\Lib\site-packages\huggingface_hub\file_download.py", line 364, in _request_wrapper
response = _request_wrapper(
^^^^^^^^^^^^^^^^^
File "C:\Users\B2J004\Desktop\huggingface\venv\Lib\site-packages\huggingface_hub\file_download.py", line 387, in _request_wrapper
response = get_session().request(method=method, url=url, **params)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\B2J004\Desktop\huggingface\venv\Lib\site-packages\requests\sessions.py", line 589, in request
resp = self.send(prep, **send_kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\B2J004\Desktop\huggingface\venv\Lib\site-packages\requests\sessions.py", line 703, in send
r = adapter.send(request, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\B2J004\Desktop\huggingface\venv\Lib\site-packages\huggingface_hub\utils_http.py", line 93, in send
return super().send(request, *args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\B2J004\Desktop\huggingface\venv\Lib\site-packages\requests\adapters.py", line 667, in send
resp = conn.urlopen(
^^^^^^^^^^^^^
File "C:\Users\B2J004\Desktop\huggingface\venv\Lib\site-packages\urllib3\connectionpool.py", line 789, in urlopen
response = self._make_request(
^^^^^^^^^^^^^^^^^^^
File "C:\Users\B2J004\Desktop\huggingface\venv\Lib\site-packages\urllib3\connectionpool.py", line 466, in _make_request
self._validate_conn(conn)
File "C:\Users\B2J004\Desktop\huggingface\venv\Lib\site-packages\urllib3\connectionpool.py", line 1095, in _validate_conn
conn.connect()
File "C:\Users\B2J004\Desktop\huggingface\venv\Lib\site-packages\urllib3\connection.py", line 693, in connect
self.sock = sock = self._new_conn()
^^^^^^^^^^^^^^^^
File "C:\Users\B2J004\Desktop\huggingface\venv\Lib\site-packages\urllib3\connection.py", line 199, in _new_conn
sock = connection.create_connection(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\B2J004\Desktop\huggingface\venv\Lib\site-packages\urllib3\util\connection.py", line 60, in create_connection
for res in socket.getaddrinfo(host, port, family, socket.SOCK_STREAM):
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Program Files\WindowsApps\PythonSoftwareFoundation.Python.3.12_3.12.1776.0_x64__qbz5n2kfra8p0\Lib\socket.py", line 976, in getaddrinfo
for res in _socket.getaddrinfo(host, port, family, type, proto, flags):
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
KeyboardInterrupt