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from transformers.configuration_utils import PretrainedConfig
from typing import Any
class AtomformerConfig(PretrainedConfig): # type: ignore
r"""
Configuration of a :class:`~transform:class:`~transformers.AtomformerModel`.
It is used to instantiate an Atomformer model according to the specified arguments.
"""
model_type = "atomformer"
def __init__(
self,
vocab_size: int = 123,
dim: int = 768,
num_heads: int = 32,
depth: int = 12,
mlp_ratio: int = 1,
k: int = 128,
dropout: float = 0.0,
mask_token_id: int = 0,
pad_token_id: int = 119,
bos_token_id: int = 120,
eos_token_id: int = 121,
cls_token_id: int = 122,
**kwargs: Any,
) -> None:
super().__init__(**kwargs)
self.vocab_size = vocab_size
self.dim = dim
self.num_heads = num_heads
self.depth = depth
self.mlp_ratio = mlp_ratio
self.k = k
self.dropout = dropout
self.mask_token_id = mask_token_id
self.pad_token_id = pad_token_id
self.bos_token_id = bos_token_id
self.eos_token_id = eos_token_id
self.cls_token_id = cls_token_id |