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Update 3.mdx #1158

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Update 3.mdx
Karthika-ps Jan 12, 2026
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Update 3.mdx
Karthika-ps Jan 12, 2026
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14 changes: 11 additions & 3 deletions chapters/en/chapter2/3.mdx
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Expand Up @@ -277,12 +277,20 @@ 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 (think matrices). Since these sequences have different lengths, they must be padded before they can be converted into a tensor.


```py
import torch
from transformers import AutoTokenizer

tokenizer = AutoTokenizer.from_pretrained("bert-base-cased")

model_inputs = tokenizer(
sequences,
padding=True,
return_tensors="pt"
)["input_ids"]

model_inputs = torch.tensor(encoded_sequences)
```

### Using the tensors as inputs to the model[[using-the-tensors-as-inputs-to-the-model]]
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