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Update 3.mdx #1114

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8 changes: 7 additions & 1 deletion chapters/en/chapter2/3.mdx
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Original file line number Diff line number Diff line change
Expand Up @@ -277,11 +277,17 @@ encoded_sequences = [
]
```

This is a list of encoded sequences: a list of lists. Tensors only accept rectangular shapes (think matrices). This "array" is already of rectangular shape, so converting it to a tensor is easy:
This is a list of encoded sequences: a list of lists. Tensors only accept rectangular shapes.
Because these lists have different lengths, we can **pad** the shorter ones with zeros so they all have the same size:

```py
import torch

encoded_sequences = [
[101, 1045, 1005, 2310, 2042, 3403, 2005, 1037, 17662, 12172, 2607, 2026, 2878, 2166, 1012, 102],
[101, 1045, 5223, 2023, 2061, 2172, 999, 102, 0, 0, 0, 0, 0, 0, 0, 0],
]

model_inputs = torch.tensor(encoded_sequences)
```

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