object and its associated tokenizer.
We will need two classes for this. The first is [AutoTokenizer], which we will use to download the tokenizer associated to the model we picked and instantiate it. The second is [AutoModelForSequenceClassification] (or [TFAutoModelForSequenceClassification] if you are using TensorFlow), which we will use to download the model itself. Note that if we were using the library on an other task, the class of the model would change. The task summary tutorial summarizes which class is used for which task.
```py
from transformers import AutoTokenizer, AutoModelForSequenceClassification
===PT-TF-SPLIT===
from transformers import AutoTokenizer, TFAutoModelForSequenceClassification
```
Now, to download the models and tokenizer we found previously, we just have to use the
