Repository: huggingface/transformers
Pull request: Fix typo in custom models documentation

# What does this PR do?
The kwargs is expected to be `trust_remote_code` (ref: [`from_pretrained()` function source](https://github.com/huggingface/transformers/blob/57278c904c5158999d31a0db8bfcd63360c37b48/src/transformers/modeling_utils.py#L3902))

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Models:

- text models: @ArthurZucker @Cyrilvallez
- vision models: @yonigozlan @molbap
- audio models: @eustlb @ebezzam @vasqu
- multimodal models: @zucchini-nlp
- graph models: @clefourrier

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- trainer: @SunMarc
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Changed files:
filename: docs/source/en/custom_models.md
patch: @@ -294,4 +294,4 @@ resnet50d.push_to_hub("custom-resnet50d")
 
 The pretrained weights, configuration, `modeling.py` and `configuration.py` files should all be uploaded to the Hub now in a [repository](https://hf.co/sgugger/custom-resnet50d) under your namespace.
 
-Because a custom model doesn't use the same modeling code as a Transformers' model, you need to add `trust_remode_code=True` in [`~PreTrainedModel.from_pretrained`] to load it. Refer to the load [custom models](./models#custom-models) section for more information.
+Because a custom model doesn't use the same modeling code as a Transformers' model, you need to add `trust_remote_code=True` in [`~PreTrainedModel.from_pretrained`] to load it. Refer to the load [custom models](./models#custom-models) section for more information.