求助：使用 Hugingface Transformers 框架时的 SSL Error

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这是一个创建于 338 天前的主题，其中的信息可能已经有所发展或是发生改变。

对于如下代码
``` python
import ssl
ssl._create_default_https_context = ssl._create_unverified_context

from datasets import load_dataset

dataset = load_dataset("yelp_review_full")
dataset["train"][100]

from transformers import AutoTokenizer

tokenizer = AutoTokenizer.from_pretrained("bert-base-cased")

def tokenize_function(examples):
return tokenizer(examples["text"], padding="max_length", truncation=True)

tokenized_datasets = dataset.map(tokenize_function, batched=True)

from transformers import AutoModelForSequenceClassification

model = AutoModelForSequenceClassification.from_pretrained("bert-base-cased", num_labels=5)

from transformers import TrainingArguments

training_args = TrainingArguments(output_dir="test_trainer")
```
我在使用 transformers 框架时出现了 ssl 问题，如下：
```
Traceback (most recent call last):
File "/Users/luojiayun/Desktop/transformers/rerate_chn.py", line 6, in <module>
dataset = load_dataset("yelp_review_full")
File "/Users/luojiayun/anaconda3/lib/python3.10/site-packages/datasets/load.py", line 2519, in load_dataset
builder_instance = load_dataset_builder(
File "/Users/luojiayun/anaconda3/lib/python3.10/site-packages/datasets/load.py", line 2192, in load_dataset_builder
dataset_module = dataset_module_factory(
File "/Users/luojiayun/anaconda3/lib/python3.10/site-packages/datasets/load.py", line 1843, in dataset_module_factory
raise e1 from None
File "/Users/luojiayun/anaconda3/lib/python3.10/site-packages/datasets/load.py", line 1779, in dataset_module_factory
raise ConnectionError(f"Couldn't reach '{path}' on the Hub ({type(e).__name__})")
ConnectionError: Couldn't reach 'yelp_review_full' on the Hub (SSLError)
```
根据 StackOverflow 上的方法，我在代码头部新增了：
```
import ssl
ssl._create_default_https_context = ssl._create_unverified_context
```
但无法解决问题。
我使用了 dev-sidecar ，已经按照提示添加了根证书，是否与此有关？
若不是，请问有没有朋友能够指明解决方法，感激不尽。

4 条回复