I got error when I tried to execute AutoModelForCausalLM.from_pretrained().
I reinstalled transformers from github.
But code does not working.

code

model = AutoModelForCausalLM.from_pretrained(
model_path,
low_cpu_mem_usage=True,
device_map="sequential",
max_memory=max_memory,
offload_folder=os.path.join("./tmp/", f"{uuid4()}"),
offload_state_dict=True,
torch_dtype=DTYPE,
)

Error Message

KeyError Traceback (most recent call last)
/usr/local/lib/python3.11/dist-packages/transformers/models/auto/configuration_auto.py in from_pretrained(cls, pretrained_model_name_or_path, **kwargs)
1154 try:
-> 1155 config_class = CONFIG_MAPPING[config_dict["model_type"]]
1156 except KeyError:

3 frames
KeyError: 'hyperclovax_vlm'

During handling of the above exception, another exception occurred:

ValueError Traceback (most recent call last)
/usr/local/lib/python3.11/dist-packages/transformers/models/auto/configuration_auto.py in from_pretrained(cls, pretrained_model_name_or_path, **kwargs)
1155 config_class = CONFIG_MAPPING[config_dict["model_type"]]
1156 except KeyError:
-> 1157 raise ValueError(
1158 f"The checkpoint you are trying to load has model type {config_dict['model_type']} "
1159 "but Transformers does not recognize this architecture. This could be because of an "

ValueError: The checkpoint you are trying to load has model type hyperclovax_vlm 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 This could be because of an issue with the checkpoint, or because your version of Transformers is out of date.