paraphrastic_test / modeling_sim.py
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import torch
from torch import nn
from transformers import MobileBert
class SimModel(PreTrainedModel):
def __init__(self, config):
super().__init__(config)
self.config = config
self.encoder = MobileBert(config)
# Initialize weights and apply final processing
self.post_init()
def forward(self, **input_args):
return self.t5_encoder(**input_args).last_hidden_state