Fix typo in Llama docstrings
# What does this PR do?
Fix typos in docs.

## Before submitting
- [X] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).

@amyeroberts yes, I ran it locally, got the error and fixed it,

here are the types in my code
```
type(tokenizer)
<class 'transformers.models.llama.tokenization_llama.LlamaTokenizer'>

type(inputs)
<class 'torch.Tensor'
``<|||||>@Kh4L Out of interest - could you share the checkpoint being used? Could you also run this snippet with the checkpoint and share the output? 

```python
from transformers import AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained(MODEL_CHECKPOINT)
prompt = "Hey, are you conscious? Can you talk to me?"
inputs = tokenizer(prompt, return_tensors="pt")
print(inputs)
print(type(inputs))
print(type(tokenizer))
```

The current changes need to be checked with a standard checkpoint for all the models affected here. For instance, if I run the snippet with the OPT checkpoint in the example

`MODEL_CHECKPOINT = "facebook/opt-350m"`

I get the following output:
```
{'input_ids': tensor([[    2, 13368,     6,    32,    47, 13316,   116,  2615,    47,  1067,
             7,   162,   116]]), 'attention_mask': tensor([[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]])}
<class 'transformers.tokenization_utils_base.BatchEncoding'>
<class 'transformers.models.gpt2.tokenization_gpt2_fast.GPT2TokenizerFast'>
```


<|||||>@amyeroberts  Checkpoint is the 7B LLama converted to HF, I get the same output!
Sorry for the confusion, I was using  `LlamaTokenizer`  and not `AutoTokenizer` in my code<|||||>Thanks for the detailed review!
I am a bit confused as I can't see the latest commit  https://github.com/Kh4L/pytorch-transformers/commit/62ea9f244b70ae190b20c69742027e277a241f2e  in this PR, even though I pushed it on my branch https://github.com/Kh4L/pytorch-transformers/tree/fix_conscious_typo 🤔 <|||||>_The documentation is not available anymore as the PR was closed or merged._<|||||>@Kh4L Github PRs were down for part of yesterday - I think it was just that. I can see the commit now and all tests are passing :) 