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from transformers import PretrainedConfig, AutoConfig
from typing import List
class BioNextTaggerConfig(PretrainedConfig):
model_type = "crf-tagger"
def __init__(
self,
augmentation = "unk",
context_size = 64,
percentage_tags = 0.2,
p_augmentation = 0.5,
crf_reduction = "mean",
version="0.1.2",
**kwargs,
):
self.version = version
self.augmentation = augmentation
self.context_size = context_size
self.percentage_tags = percentage_tags
self.p_augmentation = p_augmentation
self.crf_reduction = crf_reduction
super().__init__(**kwargs)
def get_backbonemodel_config(self):
backbonemodel_cfg = AutoConfig.from_pretrained(self._name_or_path)#.to_dict()
for k in backbonemodel_cfg.to_dict():
if hasattr(self, k):
setattr(backbonemodel_cfg,k, getattr(self,k))
return backbonemodel_cfg
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