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import json
from torch import nn
from transformers import BertModel
with open("config.json") as json_file:
config = json.load(json_file)
class SentimentClassifier(nn.Module):
def __init__(self, n_classes):
super(SentimentClassifier, self).__init__()
self.bert = BertModel.from_pretrained(config["BERT_MODEL"])
self.drop = nn.Dropout(p=0.3)
self.out = nn.Linear(self.bert.config.hidden_size, n_classes)
def forward(self, input_ids, attention_mask):
_, pooled_output = self.bert(input_ids=input_ids, attention_mask=attention_mask, return_dict=False)
output = self.drop(pooled_output)
return self.out(output)
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