Manualadastmaximamh802 Upd

# Mock input (Batch of 2 strings, each of max length 22) input_strings = ["manualadastmaximamh802", "anotherstring"] char_to_idx = chr(i): i for i in range(256) inputs = [[char_to_idx[c] for c in s] for s in input_strings] inputs = torch.tensor(inputs, dtype=torch.long)

class StringEmbedding(nn.Module): def __init__(self, vocab_size=256, emb_dim=10, lstm_hidden=20): super(StringEmbedding, self).__init__() self.embedding = nn.Embedding(vocab_size, emb_dim) self.lstm = nn.LSTM(emb_dim, lstm_hidden, batch_first=True) self.pool = nn.AdaptiveAvgPool1d(1) manualadastmaximamh802

Here is a story that blends its industrial power with a touch of narrative drama. The Heart of the Shop # Mock input (Batch of 2 strings, each

For example, if you:

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