What is the best way to import the BERT Language model into python (PyTorch)?
user
import bert
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That didn't work, I get the following error:

```
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
ModuleNotFoundError: No module named 'bert'
```

What should I do instead?
user
To import the BERT language model into Python using PyTorch, you need to install the transformers library. This library provides pre-trained models for NLP tasks, including the BERT model.

You can install the transformers library using the following pip command:

```install transformers```

Once you have installed the library, you can import the BERT model into your Python code using the following code:

```python
from transformers import AutoTokenizer, AutoModel

tokenizer = AutoTokenizer.from_pretrained("bert-base-uncased")
model = AutoModel.from_pretrained("bert-base-uncased")```

In this code, we are using the AutoTokenizer and AutoModel classes from the transformers library to load the pre-trained BERT model. The argument "bert-base-uncased" is the name of the pre-trained model that we want to load.

With the BERT model loaded, you can now use it for various NLP tasks, such as sentiment analysis, question answering, and text classification.
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