Models not working with transformers v5

[BramVanroy]

Hello

I am trying to run the ultra model with the code block from the model page (latest pip release). https://huggingface.co/knowledgator/gliclass-multilang-ultra

from gliclass import GLiClassModel, ZeroShotClassificationPipeline
from transformers import AutoTokenizer

model = GLiClassModel.from_pretrained("knowledgator/gliclass-multilang-ultra")
tokenizer = AutoTokenizer.from_pretrained("knowledgator/gliclass-multilang-ultra")
pipeline = ZeroShotClassificationPipeline(model, tokenizer, classification_type='multi-label', device='cuda:0')

text = "NASA launched a new Mars rover to search for signs of ancient life."
labels = ["space", "politics", "sports", "technology", "health"]

results = pipeline(text, labels, threshold=0.5)[0]
for r in results:
    print(r["label"], "=>", r["score"])

But I am getting this error:

[transformers] The tied weights mapping and config for this model specifies to tie shared.weight to encoder.embed_tokens.weight, but both are present in the checkpoints with different values, so we will NOT tie them. You should update the config with `tie_word_embeddings=False` to silence this warning.
[transformers] GLiClassModel LOAD REPORT from: knowledgator/gliclass-multilang-ultra
Key                                             | Status  | 
------------------------------------------------+---------+-
model.encoder_model.encoder.embed_tokens.weight | MISSING | 

Notes:
- MISSING:      those params were newly initialized because missing from the checkpoint. Consider training on your downstream task.
[transformers] You are using a model of type `GLiClass` to instantiate a model of type ``. This may be expected if you are loading a checkpoint that shares a subset of the architecture (e.g., loading a `sam2_video` checkpoint into `Sam2Model`), but is otherwise not supported and can yield errors. Please verify that the checkpoint is compatible with the model you are instantiating.
  0%|                                                                                                                                              | 0/1 [00:00<?, ?it/s][transformers] `use_return_dict` is deprecated! Use `return_dict` instead!

[Ingvarstep]

@BramVanroy, thanks for mentioning, we will fix it in the next release

[BioMikeUkr]

@BramVanroy, the model works as expected; this is just a warning. We'll check how to fix that