TypeError: MistralModel.__init__() got an unexpected keyword argument 'safe_serialization'
hello, i am working on a RAG model and using :HuggingFaceEmbedding(model_name='BAAI/bge-m3')and it used to work perfectly but now i am encountrng this error :TypeError                                 Traceback (most recent call last)
Cell In[17], line 1
----> 1 Settings.embed_model = HuggingFaceEmbedding(model_name='BAAI/bge-m3')
File /home/zeus/miniconda3/envs/cloudspace/lib/python3.10/site-packages/llama_index/embeddings/huggingface/base.py:83, in HuggingFaceEmbedding.__init__(self, model_name, tokenizer_name, pooling, max_length, query_instruction, text_instruction, normalize, model, tokenizer, embed_batch_size, cache_folder, trust_remote_code, device, callback_manager, safe_serialization)
     77 if model is None:  # Use model_name with AutoModel
     78     model_name = (
     79         model_name
     80         if model_name is not None
     81         else DEFAULT_HUGGINGFACE_EMBEDDING_MODEL
     82     )
---> 83     model = AutoModel.from_pretrained(
     84         model_name,
     85         cache_dir=cache_folder,
     86         trust_remote_code=trust_remote_code,
     87         safe_serialization=safe_serialization,
     88     )
     89 elif model_name is None:  # Extract model_name from model
     90     model_name = model.name_or_path

File /home/zeus/miniconda3/envs/cloudspace/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py:566, in _BaseAutoModelClass.from_pretrained(cls, pretrained_model_name_or_path, *model_args, **kwargs)
    564 elif type(config) in cls._model_mapping.keys():
    565     model_class = _get_model_class(config, cls._model_mapping)
--> 566     return model_class.from_pretrained(
    567         pretrained_model_name_or_path, *model_args, config=config, **hub_kwargs, **kwargs
    568     )
    569 raise ValueError(
    570     f"Unrecognized configuration class {config.__class__} for this kind of AutoModel: {cls.__name__}.\n"
    571     f"Model type should be one of {', '.join(c.__name__ for c in cls._model_mapping.keys())}."
    572 )

File /home/zeus/miniconda3/envs/cloudspace/lib/python3.10/site-packages/transformers/modeling_utils.py:3594, in PreTrainedModel.from_pretrained(cls, pretrained_model_name_or_path, config, cache_dir, ignore_mismatched_sizes, force_download, local_files_only, token, revision, use_safetensors, *model_args, **kwargs)
   3588 config = cls._autoset_attn_implementation(
   3589     config, use_flash_attention_2=use_flash_attention_2, torch_dtype=torch_dtype, device_map=device_map
   3590 )
   3592 with ContextManagers(init_contexts):
   3593     # Let's make sure we don't run the init function of buffer modules
-> 3594     model = cls(config, *model_args, **model_kwargs)
   3596 # make sure we use the model's config since the __init__ call might have copied it
   3597 config = model.config

TypeError: MistralModel.__init__() got an unexpected keyword argument 'safe_serialization'i think it has to do with another version of transformers so i tried to upgrade the transformers usingpip install transformers --upgradebut it didn’t workso if anyone can help with this i will be more than grateful