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from typing import Any, Dict, List, Tuple
from transformers import PretrainedConfig
class ILKTConfig(PretrainedConfig):
model_type = "ILKT"
def __init__(
self,
backbone_config: Dict[str, Any] = {},
embedding_head_config: Dict[str, Any] = {},
mlm_head_config: Dict[str, Any] = {},
cls_head_config: Dict[str, Any] = {},
cls_heads: List[Tuple[int, str]] = [],
max_length: int = 512,
**kwargs
):
self.backbone_config = backbone_config
self.embedding_head_config = embedding_head_config
self.mlm_head_config = mlm_head_config
self.cls_head_config = cls_head_config
self.cls_heads = cls_heads
self.max_length = False
self.output_hidden_states = False
# TODO:
# make config a proper HF config, save max length ets, don't know how it works exactly in hf ecosystem
super().__init__(**kwargs)
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