Created
December 21, 2021 20:43
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| order = sorted([str(i) for i in range(1098)]) | |
| chars = sorted(set(np.load("data_processed/dataY.npy"))) | |
| def fix_predictions(output): | |
| outs = [chars[int(order[i.item()])] for i in torch.topk(output, 5, dim = 1).indices[0]] | |
| return ["\\" + i.split("_")[1] for i in outs] |
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