Closed jasminsternkopf closed 2 years ago
Please check. You can use:
S = Add_Symbol_Embeddings() S.fit(input_weights, input_symbols, target_weights, target_symbols) test_symbol_predicted = S.predict(TEST_SYMBOL) s = torch.reshape(test_symbol_predicted, (1, 512)) updated_target_weights = torch.cat((target_weights, s))
Please check. You can use: