(512, 11) float32 (np.float32(-18.11908), np.float32(18.875607))

[shaowending]

Hello, I am using the concept.py file to generate embeddings with a dimension of 512. However, when I put the weights into the inference.ipynb file, there is a dimension mismatch. How can I solve this problem?

[shaowending]

How did you get 1024? The new weight files I created are all 512.

I just changed this