Support NLLB's LID model
### Model description

Thanks for supporting NLLB and closing this issue https://github.com/huggingface/transformers/issues/18043. I'm wondering if huggingface can further support the language identification model of NLLB?
"LID (Language IDentification) model to predict the language of the input text."

### Open source status

- [X] The model implementation is available
- [X] The model weights are available

### Provide useful links for the implementation

https://github.com/facebookresearch/fairseq/tree/nllb#lid-model
I figured out how to use it. No issue now.<|||||>First download model
`wget https://dl.fbaipublicfiles.com/nllb/lid/lid218e.bin`
Then use it for inference
```python
import fasttext
pretrained_lang_model = "lid218e.bin"
model = fasttext.load_model(pretrained_lang_model)
text = "これ、浅草に、行きますか"
predictions = model.predict(text, k=1) 
print(predictions)
```