Description
求教问题如何解决呀
报错信息:
from transformers import pipeline
transcriber = pipeline(task="automatic-speech-recognition")
No model was supplied, defaulted to facebook/wav2vec2-base-960h and revision 55bb623 (https://huggingface.co/facebook/wav2vec2-base-960h).
Using a pipeline without specifying a model name and revision in production is not recommended.
D:\Anaconda3\envs\diag_extract\lib\site-packages\huggingface_hub\file_download.py:1150: FutureWarning:resume_download
is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, useforce_download=True
.
warnings.warn(
urllib3.exceptions.SSLError: TLS/SSL connection has been closed (EOF) (_ssl.c:1149)
The above exception was the direct cause of the following exception:
urllib3.exceptions.ProxyError: ('Unable to connect to proxy', SSLError(SSLZeroReturnError(6, 'TLS/SSL connection has been closed (EOF) (_ssl.c:1149)')))
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "D:\Anaconda3\envs\diag_extract\lib\site-packages\requests\adapters.py", line 667, in send
resp = conn.urlopen(
File "D:\Anaconda3\envs\diag_extract\lib\site-packages\urllib3\connectionpool.py", line 843, in urlopen
retries = retries.increment(
File "D:\Anaconda3\envs\diag_extract\lib\site-packages\urllib3\util\retry.py", line 519, in increment
raise MaxRetryError(_pool, url, reason) from reason # type: ignore[arg-type]
urllib3.exceptions.MaxRetryError: HTTPSConnectionPool(host='huggingface.co', port=443): Max retries exceeded with url: /facebook/wav2vec2-base-960h/resolve/main/config.json (Caused by ProxyError('Unable to connect to proxy', SSLError(SSLZeroReturnError(6, 'TLS/SSL connection has been closed (EOF) (_ssl.c:1149)'))))
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "", line 1, in
File "D:\Anaconda3\envs\diag_extract\lib\site-packages\transformers\pipelines_init_.py", line 750, in pipeline
config = AutoConfig.from_pretrained(model, _from_pipeline=task, **hub_kwargs, **model_kwargs)
File "D:\Anaconda3\envs\diag_extract\lib\site-packages\transformers\models\auto\configuration_auto.py", line 916, in from_pretrained
config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs)
File "D:\Anaconda3\envs\diag_extract\lib\site-packages\transformers\configuration_utils.py", line 573, in get_config_dict
config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs)
File "D:\Anaconda3\envs\diag_extract\lib\site-packages\transformers\configuration_utils.py", line 628, in _get_config_dict
resolved_config_file = cached_file(
File "D:\Anaconda3\envs\diag_extract\lib\site-packages\transformers\utils\hub.py", line 409, in cached_file
resolved_file = hf_hub_download(
File "D:\Anaconda3\envs\diag_extract\lib\site-packages\huggingface_hub\utils_deprecation.py", line 101, in inner_f
return f(*args, **kwargs)
File "D:\Anaconda3\envs\diag_extract\lib\site-packages\huggingface_hub\utils_validators.py", line 114, in _inner_fn
return fn(*args, **kwargs)
File "D:\Anaconda3\envs\diag_extract\lib\site-packages\huggingface_hub\file_download.py", line 1240, in hf_hub_download
return _hf_hub_download_to_cache_dir(
File "D:\Anaconda3\envs\diag_extract\lib\site-packages\huggingface_hub\file_download.py", line 1303, in _hf_hub_download_to_cache_dir
(url_to_download, etag, commit_hash, expected_size, head_call_error) = _get_metadata_or_catch_error(
File "D:\Anaconda3\envs\diag_extract\lib\site-packages\huggingface_hub\file_download.py", line 1751, in _get_metadata_or_catch_error
metadata = get_hf_file_metadata(
File "D:\Anaconda3\envs\diag_extract\lib\site-packages\huggingface_hub\utils_validators.py", line 114, in _inner_fn
return fn(*args, **kwargs)
File "D:\Anaconda3\envs\diag_extract\lib\site-packages\huggingface_hub\file_download.py", line 1673, in get_hf_file_metadata
r = _request_wrapper(
File "D:\Anaconda3\envs\diag_extract\lib\site-packages\huggingface_hub\file_download.py", line 376, in _request_wrapper
response = _request_wrapper(
File "D:\Anaconda3\envs\diag_extract\lib\site-packages\huggingface_hub\file_download.py", line 399, in _request_wrapper
response = get_session().request(method=method, url=url, **params)
File "D:\Anaconda3\envs\diag_extract\lib\site-packages\requests\sessions.py", line 589, in request
resp = self.send(prep, **send_kwargs)
File "D:\Anaconda3\envs\diag_extract\lib\site-packages\requests\sessions.py", line 703, in send
r = adapter.send(request, **kwargs)
File "D:\Anaconda3\envs\diag_extract\lib\site-packages\huggingface_hub\utils_http.py", line 66, in send
return super().send(request, *args, **kwargs)
File "D:\Anaconda3\envs\diag_extract\lib\site-packages\requests\adapters.py", line 694, in send
raise ProxyError(e, request=request)
requests.exceptions.ProxyError: (MaxRetryError("HTTPSConnectionPool(host='huggingface.co', port=443): Max retries exceeded with url: /facebook/wav2vec2-base-960h/resolve/main/config.json (Caused by ProxyError('Unable to connect to proxy', SSLError(SSLZeroReturnError(6, 'TLS/SSL connection has been closed (EOF) (_ssl.c:1149)'))))"), '(Request ID: c10d4da6-29d7-40d8-b03c-66c843815d1a)')