 'attention_mask': [1, 1, 1, 1, 1, 1, 1, 1, 1]}
```
Note that the tokenizer still adds the ids of special tokens (if applicable) unless you pass
add_special_tokens=False.
This works exactly as before for batch of sentences or batch of pairs of sentences. You can encode a batch of sentences
like this:
py
batch_sentences = [
    ["Hello", "I'm", "a", "single", "sentence"],
    ["And", "another", "sentence"],
    ["And", "the", "very", "very", "last", "one"],
]
encoded_inputs = tokenizer(batch_sentences, is_split_into_words=True)
or a batch of pair sentences like this:
py
batch_of_second_sentences = [
    ["I'm", "a", "sentence", "that", "goes", "with", "the", "first", "sentence"],
    ["And", "I", "should", "be", "encoded", "with", "the", "second", "sentence"],
    ["And", "I", "go", "with", "the", "very", "last", "one"],
