Greedy Decoder in default SmolLM2-360M prevents num_return_sequences=2 and gives an error

[Rendezvous97]

In ch 1.3 Transformers: What can they do, the first example under "Using any model from the Hub in a pipeline" gives an error because the model by default is using Greedy Decoder and hence cannot generate 2 sequences. Here is the current example code:

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,
    num_return_sequences=2,
)

Suggestion: Include num_beams or do_sampling=True