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Fix max_length/max_new_tokens conflict in Chapter 1.3 #1287

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Fix max_length/max_new_tokens conflict in Chapter 1.3 #1287

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dbfeb59
Fix max_length/max_new_tokens conflict in Chapter 1.3
sihan-bzwj Aug 8, 2026
bec9bad
Clarify max_new_tokens argument in documentation
sihan-bzwj Aug 8, 2026
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6 changes: 3 additions & 3 deletions chapters/en/chapter1/3.mdx
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Expand Up @@ -146,10 +146,10 @@ generator("In this course, we will teach you how to")
'HTTP'}]
```

You can control how many different sequences are generated with the argument `num_return_sequences` and the total length of the output text with the argument `max_length`.
You can control how many different sequences are generated with the argument `num_return_sequences` and the maximum number of newly generated tokens with the argument `max_new_tokens`.

> [!TIP]
> ✏️ **Try it out!** Use the `num_return_sequences` and `max_length` arguments to generate two sentences of 15 words each.
> ✏️ **Try it out!** Use the `num_return_sequences` and `max_new_tokens` arguments to generate two sequences with at most 15 new tokens each.

## Using any model from the Hub in a pipeline[[using-any-model-from-the-hub-in-a-pipeline]]

Expand All @@ -163,7 +163,7 @@ from transformers import pipeline
generator = pipeline("text-generation", model="HuggingFaceTB/SmolLM2-360M")
generator(
"In this course, we will teach you how to",
max_length=30,
max_new_tokens=30,
num_return_sequences=2,
)
```
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