How to increase the max_seq_model LayoutLMV3
Hi there,the model I am using is LayoutLMV3 (LayoutLMv3ForTokenClassification).I want that the model can take more than 512 tokens because when the text is very large it does not classify the rest of it.I want to increase the seq_max_length, I have changed from LayoutLMv3Config → max_position_embeddings = 1024, the bboxes dataset that I am using has a 1024 +196+ 1 = 1221 size, but this hasn’t worked.I got a CUDA error:.../python3.8/layoutlm_model-packages/torch/nn/functional.py in embedding(input, weight, padding_idx, max_norm, norm_type, scale_grad_by_freq, sparse)
   2197         # remove once script supports set_grad_enabled
   2198         _no_grad_embedding_renorm_(weight, input, max_norm, norm_type)
-> 2199     return torch.embedding(weight, input, padding_idx, scale_grad_by_freq, sparse)

RuntimeError: CUDA error: device-side assert triggeredThis should be a matrix sizes error.Can someone explain me, how can I increase the max_seq_length please.