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model_def.py
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import torch.nn as nn
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class TextClassifier(nn.Module):
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def __init__(self, vocab_size, embedding_dim, hidden_dim, output_dim):
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super(TextClassifier, self).__init__()
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self.embedding = nn.Embedding(vocab_size, embedding_dim)
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self.lstm = nn.LSTM(embedding_dim, hidden_dim, batch_first=True)
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self.fc = nn.Linear(hidden_dim, output_dim)
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def forward(self, x):
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embedded = self.embedding(x)
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lstm_out, (hidden, cell) = self.lstm(embedded)
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last_hidden = hidden.squeeze(0)
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logits = self.fc(last_hidden)
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return logits
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