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import torch.nn as nn
from transformers import BertModel
import pytorch_lightning as pl
BERT_MODEL_NAME = 'alger-ia/dziribert'
class Dialect_Detection(pl.LightningModule):
def __init__(self, n_classes):
super().__init__()
self.bert = BertModel.from_pretrained(BERT_MODEL_NAME)
self.classifier = nn.Linear(self.bert.config.hidden_size, n_classes)
self.criterion = nn.CrossEntropyLoss()
def forward(self, input_ids, attention_mask, labels=None):
output = self.bert(input_ids, attention_mask)
output = self.classifier(output.pooler_output)
# if provided with labels return loss and output
if labels is not None:
loss = self.criterion(output, labels)
return loss, output
return output |