Fix typo: s/pre_layrnorm/pre_layernorm
Author: Silviase
Pull request: yes

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Fixes typo in models/clip/modeling_clip.py


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Comments:
_The documentation is not available anymore as the PR was closed or merged._

plz help :cry:

Hi @Silviase - thanks for opening this PR and contributing to improving the codebase 💪 

Unfortunately, we can't update the layers like this, as it changes their weight names. This means that previous checkpoints cannot be loaded into the model. For example, if I checkout your branch and run

```
from transformers import AutoModel
model_checkpoint = "openai/clip-vit-base-patch32"
model = AutoModel.from_pretrained(model_checkpoint)
```

I get the following output: 
```
Some weights of the model checkpoint at openai/clip-vit-base-patch32 were not used when initializing CLIPModel: ['vision_model.pre_layrnorm.bias', 'vision_model.pre_layrnorm.weight']
- This IS expected if you are initializing CLIPModel from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).
- This IS NOT expected if you are initializing CLIPModel from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).
Some weights of CLIPModel were not initialized from the model checkpoint at openai/clip-vit-base-patch32 and are newly initialized: ['vision_model.pre_layernorm.bias', 'vision_model.pre_layernorm.weight']
You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.
```

@NielsRogge  - do you have any suggestions?

Hi,

Welcome to the world of software engineering! We indeed can't change this due to backwards compatibility, as it would break any existing CLIP checkpoints.

cc @patil-suraj 

This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.

Please note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md) are likely to be ignored.

Closing this PR as it's not possible to fix this.