[Doc]: fix typos in Python comments (#24026)

Signed-off-by: Didier Durand <durand.didier@gmail.com>
This commit is contained in:
Didier Durand
2025-09-01 11:38:20 +02:00
committed by GitHub
parent dc1a53186d
commit 107284959a
14 changed files with 17 additions and 17 deletions

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@@ -26,7 +26,7 @@ logger = logging.get_logger(__name__)
class NemotronConfig(PretrainedConfig):
r"""
This is the configuration class to store the configuration of a
[`NemotronModel`]. It is used to instantiate an Nemotron model
[`NemotronModel`]. It is used to instantiate a Nemotron model
according to the specified arguments, defining the model architecture.
Instantiating a configuration with the defaults will yield a similar
configuration to that of the Nemotron-8B.

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@@ -38,7 +38,7 @@ class NemotronHConfig(PretrainedConfig):
passed when calling [`NemotronHModel`]
tie_word_embeddings (`bool`, *optional*, defaults to `False`):
Whether the model's input and output word embeddings should be
tied. Note that this is only relevant if the model has a output
tied. Note that this is only relevant if the model has an output
word embedding layer.
hidden_size (`int`, *optional*, defaults to 4096):
Dimension of the hidden representations.

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@@ -55,7 +55,7 @@ class OvisProcessorKwargs(ProcessingKwargs, total=False): # type: ignore[call-
class OvisProcessor(ProcessorMixin):
r"""
Constructs a Ovis processor which wraps a Ovis image processor and a Qwen2 tokenizer into a single processor.
Constructs an Ovis processor which wraps an Ovis image processor and a Qwen2 tokenizer into a single processor.
[`OvisProcessor`] offers all the functionalities of [`Qwen2VLImageProcessor`] and [`Qwen2TokenizerFast`]. See the
[`~OvisProcessor.__call__`] and [`~OvisProcessor.decode`] for more information.
Args:

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@@ -41,7 +41,7 @@ class Ovis2_5ProcessorKwargs(ProcessingKwargs,
class Ovis2_5Processor(ProcessorMixin):
r"""
Constructs a Ovis processor which wraps a Ovis image processor
Constructs an Ovis processor which wraps an Ovis image processor
and a Qwen2 tokenizer into a single processor.
[`OvisProcessor`] offers all the functionalities of
[`Qwen2VLImageProcessor`] and [`Qwen2TokenizerFast`].