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from transformers import PretrainedConfig
class PretrainedWord2VecHFConfig(PretrainedConfig):
model_type = "glove"
def __init__(self, num_words=400001, vector_size=50, **kwargs):
self.num_words = num_words
self.vector_size = vector_size
self.hidden_size = self.vector_size # Required for sBERT
super().__init__(**kwargs)
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