Removed partial changes done for Metaclass utilization to enforce from_pretrained based model creation. Will add that functionality separately after the hashing methodlogy is finalized.

Signed-off-by: Dhiraj Kumar Sah <[email protected]>

Author: quic-dhirajku

QEfficient/transformers/models/modeling_auto.py

@@ -130,11 +130,6 @@ def auto_correct_inputs(self, inputs):
         return {k: v for k, v in inputs.items() if k in [iinfo.name for iinfo in inputs_info]}
 
 
-class NoInitMeta(type):
-    def __call__(cls, *args, **kwargs):
-        raise RuntimeError("Use `from_pretrained` to create an instance.")
-
-
 class QEFFAutoModel(QEFFTransformersBase):
     """
     The QEFFAutoModel class is designed for manipulating any transformer model from the HuggingFace hub.
@@ -1181,7 +1176,6 @@ def get_model_config(self) -> dict:
         return self.model.config.__dict__
 
 
-# class QEFFAutoModelForImageTextToText(metaclass=NoInitMeta):
 class QEFFAutoModelForImageTextToText:
     """
     The QEFFAutoModelForImageTextToText class is used to work with multimodal language models from the HuggingFace hub.
@@ -1288,7 +1282,6 @@ def from_pretrained(cls, pretrained_model_name_or_path: str, kv_offload: Optiona
 MISCLASSIFIED_CAUSAL_LM_TO_QEFF_AUTO_CLASS_MAP = {"InternVLChatModel": QEFFAutoModelForImageTextToText}
 
 
-# class QEFFAutoModelForCausalLM(QEFFBaseModel, metaclass=NoInitMeta):
 class QEFFAutoModelForCausalLM(QEFFBaseModel):
     """
     The QEFF class is designed for manipulating any causal language model from the HuggingFace hub.