What is the best way to import the BERT Language model into python (PyTorch)?
The easiest way to import the BERT language model into python for use with PyTorch is using the Hugging Face Transformer's library, which has built in methods for pre-training, inference, and deploying BERT.

```
from transformers import AutoTokenizer, BertModel
import torch

tokenizer = AutoTokenizer.from_pretrained(bert-base-uncased)
model = BertModel.from_pretrained(bert-base-uncased)

inputs = tokenizer(Hello, my dog is cute, return_tensors=pt)
outputs = model(**inputs)

last_hidden_states = outputs.last_hidden_state
```