Wrror while accessing pretrained model with auth token
AutoModelForSeq2SeqLM.from_pretrained(“meta-llama/Llama-2-7b-hf”, token=auth_token)For above line getting error like below.Please help on resolving this issueValueError                                Traceback (most recent call last)Cell In[11], line 2312 # # Create tokenizer13 # tokenizer = AutoTokenizer.from_pretrained(name,14 #     cache_dir=‘./model/’, token=auth_token)(…)2021 # Load the tokenizer and model22 tokenizer = AutoTokenizer.from_pretrained(“meta-llama/Llama-2-7b-hf”, token=auth_token)—> 23 model = AutoModelForSeq2SeqLM.from_pretrained(“meta-llama/Llama-2-7b-hf”, token=auth_token)File ~/demo_notebook/notebookenv/lib/python3.8/site-packages/transformers/models/auto/auto_factory.py:564, in _BaseAutoModelClass.from_pretrained(cls, pretrained_model_name_or_path, *model_args, **kwargs)560     model_class = _get_model_class(config, cls._model_mapping)561     return model_class.from_pretrained(562         pretrained_model_name_or_path, *model_args, config=config, **hub_kwargs, **kwargs563     )→ 564 raise ValueError(565     f"Unrecognized configuration class {config.class} for this kind of AutoModel: {cls.name}.\n"566     f"Model type should be one of {', '.join(c.namefor c in cls._model_mapping.keys())}."567 )ValueError: Unrecognized configuration class <class ‘transformers.models.llama.configuration_llama.LlamaConfig’> for this kind of AutoModel: AutoModelForSeq2SeqLM.Model type should be one of BartConfig, BigBirdPegasusConfig, BlenderbotConfig, BlenderbotSmallConfig, EncoderDecoderConfig, FSMTConfig, GPTSanJapaneseConfig, LEDConfig, LongT5Config, M2M100Config, MarianConfig, MBartConfig, MT5Config, MvpConfig, NllbMoeConfig, PegasusConfig, PegasusXConfig, PLBartConfig, ProphetNetConfig, SeamlessM4TConfig, SeamlessM4Tv2Config, SwitchTransformersConfig, T5Config, UMT5Config, XLMProphetNetConfig.