the sentence to the tokenizer, which leverages the Rust implementation of 🤗 Tokenizers for peak performance.
```python
inputs = tokenizer(sequence)
```
The tokenizer returns a dictionary with all the arguments necessary for its corresponding model to work properly. The
token indices are under the key "input_ids":
```python
encoded_sequence = inputs["input_ids"]
print(encoded_sequence)
[101, 138, 18696, 155, 1942, 3190, 1144, 1572, 13745, 1104, 159, 9664, 2107, 102]
```
Note that the tokenizer automatically adds "special tokens" (if the associated model relies on them) which are special
IDs the model sometimes uses.
If we decode the previous sequence of ids,
```python
decoded_sequence = tokenizer.decode(encoded_sequence)
```
we will see
```python
print(decoded_sequence)
[CLS] A Titan RTX has 24GB of VRAM [SEP]
