连接错误，我们无法在缓存的路径中找到请求的文件。请再试一次，或确保您的网络诈骗

Question

不一定，但在运行我的代码时偶尔会出现此错误。

起初，我怀疑这是一个连接问题，但与现金问题有关，就像在一个较旧的Git发行上讨论的那样。

清除缓存无助于运行时：

$ rm ~/.cache/huggingface/transformers/ *

追溯参考资料：

• NLTK也获得Error loading stopwords: <urlopen error [Errno -2] Name or service not known。
• 最后2行re cached_path和get_from_cache。

缓存(清除前)：

$ cd ~/.cache/huggingface/transformers/
(sdg) me@PF2DCSXD:~/.cache/huggingface/transformers$ ls
16a2f78023c8dc511294f0c97b5e10fde3ef9889ad6d11ffaa2a00714e73926e.cf2d0ecb83b6df91b3dbb53f1d1e4c311578bfd3aa0e04934215a49bf9898df0
16a2f78023c8dc511294f0c97b5e10fde3ef9889ad6d11ffaa2a00714e73926e.cf2d0ecb83b6df91b3dbb53f1d1e4c311578bfd3aa0e04934215a49bf9898df0.json
16a2f78023c8dc511294f0c97b5e10fde3ef9889ad6d11ffaa2a00714e73926e.cf2d0ecb83b6df91b3dbb53f1d1e4c311578bfd3aa0e04934215a49bf9898df0.lock
4029f7287fbd5fa400024f6bbfcfeae9c5f7906ea97afcaaa6348ab7c6a9f351.723d8eaff3b27ece543e768287eefb59290362b8ca3b1c18a759ad391dca295a.h5
4029f7287fbd5fa400024f6bbfcfeae9c5f7906ea97afcaaa6348ab7c6a9f351.723d8eaff3b27ece543e768287eefb59290362b8ca3b1c18a759ad391dca295a.h5.json
4029f7287fbd5fa400024f6bbfcfeae9c5f7906ea97afcaaa6348ab7c6a9f351.723d8eaff3b27ece543e768287eefb59290362b8ca3b1c18a759ad391dca295a.h5.lock
684fe667923972fb57f6b4dcb61a3c92763ad89882f3da5da9866baf14f2d60f.c7ed1f96aac49e745788faa77ba0a26a392643a50bb388b9c04ff469e555241f
684fe667923972fb57f6b4dcb61a3c92763ad89882f3da5da9866baf14f2d60f.c7ed1f96aac49e745788faa77ba0a26a392643a50bb388b9c04ff469e555241f.json
684fe667923972fb57f6b4dcb61a3c92763ad89882f3da5da9866baf14f2d60f.c7ed1f96aac49e745788faa77ba0a26a392643a50bb388b9c04ff469e555241f.lock
c0c761a63004025aeadd530c4c27b860ec4ecbe8a00531233de21d865a402598.5d12962c5ee615a4c803841266e9c3be9a691a924f72d395d3a6c6c81157788b
c0c761a63004025aeadd530c4c27b860ec4ecbe8a00531233de21d865a402598.5d12962c5ee615a4c803841266e9c3be9a691a924f72d395d3a6c6c81157788b.json
c0c761a63004025aeadd530c4c27b860ec4ecbe8a00531233de21d865a402598.5d12962c5ee615a4c803841266e9c3be9a691a924f72d395d3a6c6c81157788b.lock
fc674cd6907b4c9e933cb42d67662436b89fa9540a1f40d7c919d0109289ad01.7d2e0efa5ca20cef4fb199382111e9d3ad96fd77b849e1d4bed13a66e1336f51
fc674cd6907b4c9e933cb42d67662436b89fa9540a1f40d7c919d0109289ad01.7d2e0efa5ca20cef4fb199382111e9d3ad96fd77b849e1d4bed13a66e1336f51.json
fc674cd6907b4c9e933cb42d67662436b89fa9540a1f40d7c919d0109289ad01.7d2e0efa5ca20cef4fb199382111e9d3ad96fd77b849e1d4bed13a66e1336f51.lock

代码：

from transformers import pipeline, set_seed

generator = pipeline('text-generation', model='gpt2')  # Error
set_seed(42)

回溯：

2022-03-03 10:18:06.803989: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcudart.so.11.0'; dlerror: libcudart.so.11.0: cannot open shared object file: No such file or directory
2022-03-03 10:18:06.804057: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
[nltk_data] Error loading stopwords: <urlopen error [Errno -2] Name or
[nltk_data]     service not known>
2022-03-03 10:18:09.216627: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory
2022-03-03 10:18:09.216700: W tensorflow/stream_executor/cuda/cuda_driver.cc:269] failed call to cuInit: UNKNOWN ERROR (303)
2022-03-03 10:18:09.216751: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (PF2DCSXD): /proc/driver/nvidia/version does not exist
2022-03-03 10:18:09.217158: I tensorflow/core/platform/cpu_feature_guard.cc:151] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 FMA
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2022-03-03 10:18:09.235409: W tensorflow/python/util/util.cc:368] Sets are not currently considered sequences, but this may change in the future, so consider avoiding using them.
All model checkpoint layers were used when initializing TFGPT2LMHeadModel.

All the layers of TFGPT2LMHeadModel were initialized from the model checkpoint at gpt2.
If your task is similar to the task the model of the checkpoint was trained on, you can already use TFGPT2LMHeadModel for predictions without further training.
Traceback (most recent call last):
  File "/home/me/miniconda3/envs/sdg/lib/python3.8/runpy.py", line 194, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File "/home/me/miniconda3/envs/sdg/lib/python3.8/runpy.py", line 87, in _run_code
    exec(code, run_globals)
  File "/mnt/c/Users/me/Documents/GitHub/project/foo/bar/__main__.py", line 26, in <module>
    nlp_setup()
  File "/mnt/c/Users/me/Documents/GitHub/project/foo/bar/utils/Modeling.py", line 37, in nlp_setup
    generator = pipeline('text-generation', model='gpt2')
  File "/home/me/miniconda3/envs/sdg/lib/python3.8/site-packages/transformers/pipelines/__init__.py", line 590, in pipeline
    tokenizer = AutoTokenizer.from_pretrained(
  File "/home/me/miniconda3/envs/sdg/lib/python3.8/site-packages/transformers/models/auto/tokenization_auto.py", line 463, in from_pretrained
    tokenizer_config = get_tokenizer_config(pretrained_model_name_or_path, **kwargs)
  File "/home/me/miniconda3/envs/sdg/lib/python3.8/site-packages/transformers/models/auto/tokenization_auto.py", line 324, in get_tokenizer_config
    resolved_config_file = get_file_from_repo(
  File "/home/me/miniconda3/envs/sdg/lib/python3.8/site-packages/transformers/file_utils.py", line 2235, in get_file_from_repo
    resolved_file = cached_path(
  File "/home/me/miniconda3/envs/sdg/lib/python3.8/site-packages/transformers/file_utils.py", line 1846, in cached_path
    output_path = get_from_cache(
  File "/home/me/miniconda3/envs/sdg/lib/python3.8/site-packages/transformers/file_utils.py", line 2102, in get_from_cache
    raise ValueError(
ValueError: Connection error, and we cannot find the requested files in the cached path. Please try again or make sure your Internet connection is on.

失败了

1. 我关闭了IDE和bash终端。在wsl.exe --shutdown in PowerShell.用相同的错误重新启动IDE和bash终端。
2. 断开/不同的VPN。
3. 清除缓存$ rm ~/.cache/huggingface/transformers/ *。

Answer 1

由于我是在conda venv中工作，并且使用 dependency 来处理依赖关系，所以我需要重新安装torch --一种拥抱面部变形金刚的依赖关系。

首先，安装火炬：PyTorch网站允许您为安装选择准确的设置/规范。在我的例子中，命令是

conda install pytorch torchvision torchaudio cudatoolkit=10.2 -c pytorch

然后添加到诗歌中：

poetry add torch

这两者都需要很长时间才能处理。运行时恢复正常:)

Answer 2

请确保没有使用空路径加载令牌程序。帮我解决了这个问题。

Answer 3

我在github上看到了一个答案，你可以试试：

将force_download=True传递给from_pretrained，它将覆盖缓存并重新下载文件。

链接:https://github.com/huggingface/transformers/issues/8690 By:patil