text: Title: ValueError: The checkpoint you are trying to load has model type `gemma3` but Transformers does not recognize this architecture.
  Body: ### System Info
  
  enviroment from pyproject.toml:
  ```
  [tool.poetry]
  name = "rl-finetunning"
  package-mode = false
  version = "0.1.0"
  description = ""
  readme = "README.md"
  
  [tool.poetry.dependencies]
  python = "^3.12"
  torch = {version = "2.5.1+cu121", source = "torch-repo"}
  torchaudio = {version = "2.5.1+cu121", source = "torch-repo"}
  langchain = {extras = ["all"], version = "^0.3.14"}
  numpy = "<2"
  ujson = "^5.10.0"
  tqdm = "^4.67.1"
  ipykernel = "^6.29.5"
  faiss-cpu = "^1.9.0.post1"
  wandb = "^0.19.4"
  rouge-score = "^0.1.2"
  accelerate = "0.34.2"
  datasets = "^3.2.0"
  evaluate = "^0.4.3"
  bitsandbytes = "^0.45.1"
  peft = "^0.14.0"
  deepspeed = "0.15.4"
  trl = "^0.15.2"
  transformers = "^4.49.0"
  
  [build-system]
  requires = ["poetry-core"]
  build-backend = "poetry.core.masonry.api"
  
  [[tool.poetry.source]]
  name = "torch-repo"
  url = "https://download.pytorch.org/whl/cu121"
  priority = "explicit"
  ```
  
  ### Who can help?
  
  @ArthurZucker  @gante
  
  ### Reproduction
  
  Code to reproduce: https://pastebin.com/vGXdw5e7
  
  Model weights was downloaded in current directory.
  
  Full Traceback:
  ```
  Traceback (most recent call last):
    File "/home/calibri/.cache/pypoetry/virtualenvs/rl-finetunning-LD6GBRk7-py3.12/lib/python3.12/site-packages/transformers/models/auto/configuration_auto.py", line 1092, in from_pretrained
      config_class = CONFIG_MAPPING[config_dict["model_type"]]
                     ~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^
    File "/home/calibri/.cache/pypoetry/virtualenvs/rl-finetunning-LD6GBRk7-py3.12/lib/python3.12/site-packages/transformers/models/auto/configuration_auto.py", line 794, in __getitem__
      raise KeyError(key)
  KeyError: 'gemma3'
  
  During handling of the above exception, another exception occurred:
  
  Traceback (most recent call last):
    File "/home/calibri/experiments/rl_finetunning/sft.py", line 118, in <module>
      model = AutoModelForCausalLM.from_pretrained(
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    File "/home/calibri/.cache/pypoetry/virtualenvs/rl-finetunning-LD6GBRk7-py3.12/lib/python3.12/site-packages/transformers/models/auto/auto_factory.py", line 526, in from_pretrained
      config, kwargs = AutoConfig.from_pretrained(
                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^
    File "/home/calibri/.cache/pypoetry/virtualenvs/rl-finetunning-LD6GBRk7-py3.12/lib/python3.12/site-packages/transformers/models/auto/configuration_auto.py", line 1094, in from_pretrained
      raise ValueError(
  ValueError: The checkpoint you are trying to load has model type `gemma3` but Transformers does not recognize this architecture. This could be because of an issue with the checkpoint, or because your version of Transformers is out of date.
  
  You can update Transformers with the command `pip install --upgrade transformers`. If this does not work, and the checkpoint is very new, then there may not be a release version that supports this model yet. In this case, you can get the most up-to-date code by installing Transformers from source with the command `pip install git+https://github.com/huggingface/transformers.git`
  ```
  
  
  ### Expected behavior
  
  I downloaded latest transformers version so I expected the code to run without errors. 