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Browse files- configuration_protst.py +42 -0
configuration_protst.py
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from transformers import PretrainedConfig
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from transformers.utils import logging
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from transformers.models.esm import EsmConfig
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logger = logging.get_logger(__name__)
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class ProtSTConfig(PretrainedConfig):
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r"""
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This is the configuration class to store the configuration of a [`ProtSTModel`].
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Configuration objects inherit from [`PretrainedConfig`] and can be used to control the model outputs. Read the
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documentation from [`PretrainedConfig`] for more information.
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Args:
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protein_config (`dict`, *optional*):
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Dictionary of configuration options used to initialize [`EsmForProteinRepresentation`].
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```"""
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model_type = "protst"
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def __init__(
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self,
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protein_config=None,
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**kwargs,
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):
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super().__init__(**kwargs)
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if protein_config is None:
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protein_config = {}
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logger.info("`protein_config` is `None`. Initializing the `ProtSTProteinConfig` with default values.")
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self.protein_config = EsmConfig(**protein_config)
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@classmethod
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def from_protein_text_configs(
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cls, protein_config: EsmConfig, **kwargs
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):
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r"""
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Instantiate a [`ProtSTConfig`] (or a derived class) from ProtST text model configuration. Returns:
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[`ProtSTConfig`]: An instance of a configuration object
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"""
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return cls(protein_config=protein_config.to_dict(), **kwargs)
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