Example does not work at all
Author: Oxi84
Pull request: no

### System Info

latest version

### Who can help?

_No response_

### Information

- [ ] The official example scripts
- [ ] My own modified scripts

### Tasks

- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (give details below)

### Reproduction

I tried to run this as in instructions:
https://huggingface.co/sileod/deberta-v3-base-tasksource-nli

from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("sileod/deberta-v3-base-tasksource-nli")
model = AutoModelForSequenceClassification.from_pretrained("sileod/deberta-v3-base-tasksource-nli")

I get error that tokenizer does not exist.

Then i tried the author code:
    from tasknet import Adapter
    from transformers import AutoModelForMultipleChoice,AutoTokenizer
    
    model_name="sileod/deberta-v3-base-tasksource-nli"
    tokenizer3 = AutoTokenizer.from_pretrained("microsoft/deberta-v3-base")
    model3 = AutoModelForMultipleChoice.from_pretrained(model_name,ignore_mismatched_sizes=True, cache_dir="/root/Desktop/models/", low_cpu_mem_usage=True)
    adapter = Adapter.from_pretrained(model_name.replace('nli','adapters'))
    model_for_rlhf = adapter.adapt_model_to_task(model3, 'glue/cola') #glue/cola #hh-rlhf
    
    if 1==1:
    def cola(sentences1):
         import torch
         import time
         beg = time.time()
         inputs = tokenizer3(sentences1, return_tensors="pt", padding=True, truncation=True, max_length=40).to("cpu")
         with torch.no_grad():
              outputs = model_for_rlhf(**inputs)
    
        the_cola_scores = []
        print("outputs.logits",outputs.logits)
        for aout in outputs.logits:
            cola_prediction = torch.nn.functional.softmax(aout)[1].item()
            the_cola_scores.append(round(cola_prediction,2))
        
        return the_cola_scores
    
    import time
    timea = time.time
    sentences1 = ["I likes apples","I love apples."]
    cola = cola(sentences1)
    print(cola,timea - time.time )


I get error:
      RuntimeError: shape '[-1, 6]' is invalid for input of size 4








### Expected behavior

it should work, but there are many models here that do not have instruction on running them. 

Comments:
@Oxi84 Thanks for reporting this issue. 

Could you share some more information so that we can best help you? Specifically the running environment: copy-paste the info you get from running `transformers-cli env` in your terminal ("latest version" is ill-defined). I'm able to run the snippet: 
```py
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("sileod/deberta-v3-base-tasksource-nli")
model = AutoModelForSequenceClassification.from_pretrained("sileod/deberta-v3-base-tasksource-nli")
```
without any issue on the main branch - 4.29.0.dev0. 

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.