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from transformers import PretrainedConfig, AutoConfig
from typing import List
class MultiHeadCRFConfig(PretrainedConfig):
model_type = "crf-tagger"
def __init__(
self,
classes = list(),
number_of_layer_per_head = 1,
augmentation = "random",
context_size = 64,
percentage_tags = 0.2,
aug_prob = 0.5,
crf_reduction = "mean",
freeze = False,
version="0.1.3",
**kwargs,
):
self.classes = classes
self.number_of_layer_per_head=number_of_layer_per_head
self.version = version
self.augmentation = augmentation
self.context_size = context_size
self.percentage_tags = percentage_tags
self.aug_prob = aug_prob,
self.crf_reduction = crf_reduction
self.freeze=freeze
self.version = version
super().__init__(**kwargs)
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