Bug in autotokenizer some open source models such as falcon. 
### System Info

I want to get the sentence difference and use autotokenizer a falcon model 40B and 7B but usually, I receive an attribute error bug: model 'signal' has no attribute 'SIGALRM'.


![image](https://github.com/huggingface/transformers/assets/23569519/75d671dd-8b57-4447-acf2-5c093b79eddd)


@younesbelkada  @ArthurZucker @Rocketknight1

### Who can help?

_No response_

### Information

- [X] The official example scripts
- [ ] My own modified scripts

### Tasks

- [X] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (give details below)

### Reproduction

'''
from transformers import AutoModelForCausalLM, AutoTokenizer

tokenizer = AutoTokenizer.from_pretrained("tiiuae/falcon-40b-instruct")
model = AutoModelForCausalLM.from_pretrained("tiiuae/falcon-40b-instruct")

'''


![image](https://github.com/huggingface/transformers/assets/23569519/e53a5a08-459e-4dde-bb95-ac151a018a33)


### Expected behavior

Give me a method to get the word embeddings using sentence transformers or autotokenizer open source models such as falcon or LLMA2.
Hey! Could you provide a full trace to know where the error come from?
I cannot reproduce the error with the script you provided. Make sure you are using the latest version of transformers too! <|||||>Thanks. 

![image](https://github.com/huggingface/transformers/assets/23569519/4921397e-8ae2-4cfe-925e-8415b5ab66af)

<|||||>It seems that the [SIGALARM is not available on Windows](https://stackoverflow.com/questions/52779920/why-is-signal-sigalrm-not-working-in-python-on-windows). But I am not very familiar with this, will let @sgugger answer! 

As per the[ contribution guidelines](https://github.com/huggingface/transformers/blob/c9a82be592ca305180a7ab6a36e884bca1d426b8/CONTRIBUTING.md), could you provide the platform you are running this on? 
- which version of python are you using? 
- which version of transformers are you using? 
- are you on linux or windows? <|||||>You can avoid this error by passing `trust_remote_code=True` (which is needed for this model). We will make the error message clearer when signal is not available.