Delete configuration_protst.py

configuration_protst.py

@@ -1,51 +0,0 @@
-from transformers import PretrainedConfig
-from transformers.utils import logging
-from transformers.models.esm import EsmConfig
-from transformers.models.bert import BertConfig
-
-logger = logging.get_logger(__name__)
-
-
-class ProtSTConfig(PretrainedConfig):
-    r"""
-    This is the configuration class to store the configuration of a [`ProtSTModel`].
-    Configuration objects inherit from [`PretrainedConfig`] and can be used to control the model outputs. Read the
-    documentation from [`PretrainedConfig`] for more information.
-    Args:
-        protein_config (`dict`, *optional*):
-            Dictionary of configuration options used to initialize [`EsmForProteinRepresentation`].
-        text_config (`dict`, *optional*):
-            Dictionary of configuration options used to initialize [`BertForPubMed`].
-    ```"""
-
-    model_type = "protst"
-
-    def __init__(
-        self,
-        protein_config=None,
-        text_config=None,
-        **kwargs,
-    ):
-        super().__init__(**kwargs)
-
-        if protein_config is None:
-            protein_config = {}
-            logger.info("`protein_config` is `None`. Initializing the `ProtSTTextConfig` with default values.")
-
-        if text_config is None:
-            text_config = {}
-            logger.info("`text_config` is `None`. Initializing the `ProtSTVisionConfig` with default values.")
-
-        self.protein_config = EsmConfig(**protein_config)
-        self.text_config = BertConfig(**text_config)
-
-    @classmethod
-    def from_protein_text_configs(
-        cls, protein_config: EsmConfig, text_config: BertConfig, **kwargs
-    ):
-        r"""
-        Instantiate a [`ProtSTConfig`] (or a derived class) from ProtST text model configuration. Returns:
-            [`ProtSTConfig`]: An instance of a configuration object
-        """
-
-        return cls(protein_config=protein_config.to_dict(), text_config=text_config.to_dict(), **kwargs)