[`Llava`] Update convert_llava_weights_to_hf.py script
Author: isaac-vidas
Pull request: yes

Based on discussion in the issue https://github.com/huggingface/transformers/issues/28597
Fixes: https://github.com/huggingface/transformers/issues/28597

* Remove config update of adding padding to `vocab_size` and `text_config.vocab_size` which causes `ValueError` exception.
* Remove keys that ends with `inv_freq` from the state dict.
* Add examples and instructions for creating `model_state_dict.bin` that can be used by the script.

```console
$ python src/transformers/models/llava/convert_llava_weights_to_hf.py -h
usage: convert_llava_weights_to_hf.py [-h] [--text_model_id TEXT_MODEL_ID] [--vision_model_id VISION_MODEL_ID] [--output_hub_path OUTPUT_HUB_PATH]
                                      [--old_state_dict_id OLD_STATE_DICT_ID]

optional arguments:
  -h, --help            show this help message and exit
  --text_model_id TEXT_MODEL_ID
                        Hub location of the text model
  --vision_model_id VISION_MODEL_ID
                        Hub location of the vision model
  --output_hub_path OUTPUT_HUB_PATH
                        Location on the hub of the converted model
  --old_state_dict_id OLD_STATE_DICT_ID
                        Location on the hub of the raw state dict of the original model. The filename needs to be `model_state_dict.bin`

Example:
    python transformers/src/transformers/models/llava/convert_llava_weights_to_hf.py --text_model_id lmsys/vicuna-7b-v1.5 --vision_model_id openai/clip-vit-large-patch14-336 --output_hub_path org/llava-v1.5-7b-conv --old_state_dict_id liuhaotian/llava-v1.5-7b

Example for creating the old state dict file with Python:

    import torch
    from llava.model.language_model.llava_llama import LlavaLlamaForCausalLM

    # load model
    kwargs = {"device_map": "auto", "torch_dtype": torch.float16}
    model = LlavaLlamaForCausalLM.from_pretrained("liuhaotian/llava-v1.5-7b", low_cpu_mem_usage=True, **kwargs)

    # load vision tower
    model.get_vision_tower().load_model()

    # Save state dict
    torch.save(model.state_dict(), "tmp/hf_models/llava-v1.5-7b/model_state_dict.bin")
```

# What does this PR do?

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## Before submitting
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